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About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

The principal product manager will work with scientists, engineers, program managers, and a variety of cross-functional partners to understand customer and stakeholder needs, define a clear vision and strategy for their area, make prioritization decisions, invest in the next generation of recommendations models and services, and deploy.

Responsibilities

• Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.
• Understand company strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.
• Incorporate data, research, and market analysis to inform product strategies and roadmaps.
• Plan, initiate, and manage information technology projects for web-based products and platforms.
• Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.
• Drive product development with teams of world-class engineers and designers, while maintaining team health.
• Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.
• Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.
• Define and analyze metrics that inform the success of products. Identify and track key performance metrics.

• Experience working directly with Engineers on product enhancements
• Experience in project management methodologies, business analysis, or process improvement
• 5+ years of product management experience in a technological industry
• Experience working on agile-enabled teams
• Experience launching consumer-facing online/mobile products/services from start to finish
• Experience working with products rooted in voice, personalization, search, or machine learning-based systems
• Proven ability to understand complex business problems, apply strong analytical skills and create an effective strategy
• Technical fluency; ability to understand and discuss architectural concepts, schedule tradeoffs and new opportunities with technical team members
• Strong communication and collaboration skills, with a proven ability to work across functions and influence senior leaders
• Demonstrated success in building buy-in for an innovative and bold vision
• Excellent platform experience intuition; demonstrated success in creating innovative and user-friendly software applications and customer-facing features
• Nimbleness and comfort with ambiguity; ability to respond rapidly to evolving threats and opportunities
• Demonstrated ability to translate strategic differentiators into innovative and detailed product requirements
• Proven ability to make smart features (customer experience) versus time-to-market trade-offs; experience using data and metrics to back up assumptions and assertions of business value
• MBA or master’s degree in a quantitative field

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

Tessian protects every business’s mission by securing the human layer 

The Tessian Cloud Email Security platform helps enterprises defend against email attacks, protect against data loss and respond to security incidents more efficiently. By combining artificial intelligence with an understanding of employee email behavior, Tessian is able to prevent complex email attacks and data loss incidents that evade Secure Email Gateways and the built in security controls of M365 and Google Workspace. 

The world's largest banks, healthcare organizations, hedge funds and law firms all use Tessian to secure their email environments, data and people whilst saving their security team time. In 2022 alone, Tessian prevented hundreds of thousands of business email compromise attacks, data loss incidents and  saved hundreds of hours of work for security teams. 

Tessian is headquartered in London and Boston with 200+ employees globally and has raised over $120m in venture capital funding from world leading investors like Sequoia, Accel, Balderton, March, Citi and Okta. Tessian was recognized as one of Fast Company’s Most Innovative Companies for 2022. More information can be found at www.tessian.com.

Data / Threat Analysis at Tessian

As a high-growth scale-up, our email datasets are growing at an exponential rate. This is a great problem to have as it allows us to train best-in-class machine learning models to prevent previously unpreventable data breaches. We have scaled to the point where there are so many emails flowing through our system that need more human eyes to understand some more advanced patterns and feed them back into our algorithms.

You will lead our Threat Intelligence team and work day-to-day with Threat Analysts, Data Scientists and Engineers to build out the flow of identifying any weak points in our algorithms and coming up with ways - in collaboration with our data scientists - to detect these types of emails. You will also work with Sales Engineers, identifying a better flow to surface the value of what Tessian does to our customers, which requires you to deeply understand the product and the way our customers benefit from it.

We view this role as a hugely impactful, high-leverage role and strongly believe that if we can have a smooth and robust feedback flow from incoming emails to outgoing ideas that we can deliver more value to our clients through the data breaches we prevent. In this role you should be a spokesperson both internally and externally in the Threat Intelligence landscape.

Some interesting projects we’re working on:

Building an advanced threat intelligence infrastructure

Training and Deploying advanced ML models on a combination of structured and unstructured (NLP) data.

Improving the deployment flow of algorithm changes to decrease time from idea to production

Automating reporting to surface product value to our customers

Designing the next generation data-lake setting ourselves up to handle massive future scale

Responsibilities:

Look at advanced email attacks and understand the underlying tactics used to try to bypass our systems

Label these emails to their correct categories to help the Algorithm teams to improve their ML Models

Take insights from these emails and leveraging our threat intelligence infrastructure to block similar threats in the future

Surfacing these ideas back to the Data Scientists so they can deploy more robust ways of blocking these tactics

Presenting to the wider company about threats we’re seeing to keep them informed

Taking calls with customers using our product to understand and surface the value of Tessian

Improving the tooling for reporting this value back to customers

Writing blog posts about new and emerging threats

Qualifications:

Have basic+ Python knowledge and the ability to look at datasets in Python

Have a real hunger for learning and pushing Threat Intelligence around Email Security to the next level

Ideally have experience in the email security field

Ideally have some experience with Machine Learning systems

Has an ability to break down ambiguous problems into concrete, manageable components and think through optimal solutions

Enjoys “getting their hands dirty” by digging into complex operations

Takes a high degree of ownership over their work

Is a clear communicator with professional presence

Has strong listening skills; open to input from other team members and departments

Has great attention to detail

If you're not sure that you exactly fit all of the above criteria, please do get in touch anyway. We're always willing to speak to great candidates even if you don't feel you meet every criteria listed!

Tessian is an equal opportunity employer, committed to equality and diversity amongst both our employees and prospective applicants. The Human Layer we're securing is diverse, and we know we need to be diverse and inclusive to successfully create HLS that reflects this. You can read our equality and diversity statement here.

As part of our commitment to equality and diversity, we're also a corporate member of the WISE Campaign for gender equality in STEM & we're a founding member of the WEDS network driving diversity & inclusion in startups.

By submitting your application to Tessian, you consent to Tessian retaining your information and contacting you about future job opportunities, that may be of interest, for up to 2 years in accordance with our Privacy Policy

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As a DevOps Engineer, you will contribute to the maintenance, improvement, and scaling of our infrastructure. Drawing from principles of Platform Engineering and Site Reliability Engineering, you will help ensure our infrastructure's robustness, resilience, and efficiency. Familiarity with cloud technologies, automation, and continuous integration and delivery (CI/CD) practices is required. If you're eager to solve complex problems and learn fast in a dynamic environment, we invite you to apply.

Key Responsibilities:

• Assist in managing and improving the infrastructure that supports our software products.
• Collaborate with other DevOps engineers, developers, and QA engineers to optimize infrastructure, streamline deployments, and automate tasks.
• Support the development and maintenance of CI/CD pipelines.
• Monitor system performance and assist in implementing improvements.
• Contribute to enhancing system resilience and performance based on Site Reliability Engineering principles.
• Help ensure system compliance with security standards and assist with disaster recovery procedures.

• 1-3 years of experience in a DevOps role.
• Understanding of cloud technologies (AWS, GCP, or Azure) and experience with container orchestration systems like Kubernetes is a plus.
• Familiarity with automation tools and scripting languages.
• Basic understanding of CI/CD principles and practices.
• Good problem-solving abilities.
• Good communication skills.
• BS or MS degree in Computer Science or a related technical field is desirable.

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Position Summary

Appen is seeking a dynamic and experienced Engineering Manager to lead our talented team of software engineers. In this role, you will play a pivotal part in the design and development of cutting-edge AI and machine learning solutions, shaping the future of technology and driving our mission to create high-quality training data.

Key Responsibilities:

•  Lead a team of software engineers in the design, development, and implementation of robust, scalable, and secure software solutions. 
• Provide technical guidance and mentorship, fostering a culture of continuous learning and improvement within the team. 
• Collaborate with product managers, data scientists, and other key stakeholders to understand and translate business requirements into innovative software solutions. 
• Manage and prioritize project workloads, ensuring that projects are delivered on time and within budget. 
• Champion best practices in software development, including code reviews, testing, and documentation. 
• Actively participate in the recruitment, onboarding, and career development of software engineers. 
• Resolve complex technical challenges, ensuring the optimal performance and reliability of our software systems. 

• Bachelor's Degree in Computer Science, Software Engineering, or a related field. A Master's Degree is preferred. 
• 7+ years of experience in software development, with at least 3 years in a leadership or managerial role. 
• Proficiency in multiple programming languages such as Java, Python etc. 
• Expert knowledge in Java, Spring Boot, and JPA/Hibernate development platform. 
• Deep understanding of algorithms, data structures, and software design principles. 
• Experience with AI and machine learning technologies is highly desirable. 
• Strong problem-solving skills and attention to detail. 
• Excellent leadership and communication skills, with a proven track record of managing and mentoring high-performing teams. 
• Ability to work effectively in a fast-paced, dynamic environment. 

#LI-Onsite

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

illumin is a leading technology company that provides marketers with a one-stop solution for omnichannel digital advertising with best-of-category return on advertising spend. Our journey automation technology, illumin™, offers planning, buying and real-time intelligence from one platform. With proprietary Artificial Intelligence, illumin™ brings unique programmatic capabilities to close the gap between advertising planning and execution. illumin is headquartered in Toronto with offices throughout Canada, the U.S., Europe, and Latin America. For more information, visit illumin.com and check out our Life @ illumin video here!

We are seeking a skilled Data Operations Engineer to join our existing Infrastructure & Operations team. As a Data Operations Engineer, you will play a crucial role in managing, optimizing, and ensuring the reliability of our data infrastructure. Working closely with a team of DevOps Engineers, Network Engineers, and DBAs, you will contribute to the smooth functioning of our data systems. The ideal candidate has a strong background in data operations, possesses excellent troubleshooting skills, and is passionate about delivering high-quality data services.

Responsibilities

• Manage and maintain the day-to-day operations of our data infrastructure, including data ingestion, processing, storage, and retrieval systems.
• Collaborate with cross-functional teams to understand data requirements, design efficient data workflows, and ensure data quality and integrity.
• Implement and maintain monitoring and alerting systems to proactively identify and resolve data-related issues, ensuring the smooth functioning of data pipelines and services.
• Conduct performance tuning and optimization of data systems, identifying bottlenecks and implementing necessary improvements.
• Define and implement backup, disaster recovery, and business continuity strategies for our data systems.
• Automate data operations processes to improve efficiency, reliability, and scalability, utilizing appropriate tools and frameworks.
• Implement and maintain data security measures and compliance standards to protect sensitive data and ensure regulatory requirements are met.
• Collaborate with data scientists, analysts, and engineers to address their data needs and provide technical support for data-related inquiries and requests.
• Research and evaluate emerging technologies and industry best practices in data operations to drive innovation and improve the overall data infrastructure.
• Participate in incident response and troubleshooting efforts, investigating and resolving data-related issues and outages in a timely manner.
• Develop and maintain documentation, standard operating procedures, and best practices for data operations and infrastructure management.

• 3+ years of experience in data operations, database administration, or a related role.
• Strong knowledge and experience with data technologies such as data ingestion tools, data processing frameworks, databases (relational and NoSQL), and data storage systems.
• Proficiency in at least one programming language (Python, SQL or similar) for scripting and automation.
• Experience with data orchestration tools and workflow management systems.
• Solid understanding of data monitoring, alerting, and logging systems.
• Familiarity with data security best practices and compliance standards (e.g., GDPR, HIPAA).
• Excellent problem-solving and troubleshooting skills, with a strong attention to detail.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

• Knowledge of big data frameworks and tools (e.g., Kafka, Hadoop, Spark) and distributed computing principles.
• Familiarity with data governance frameworks and data cataloging tools.
• Experience with stream processing frameworks (e.g., Kafka, Apache Flink).
• Knowledge of data visualization tools (e.g., Tableau, Power BI) and data exploration techniques.
• Understanding of DevOps and Agile/Scrum methodologies and experience working in these environments.

If you are a motivated and proactive individual with a strong passion for data operations and enjoy working in a collaborative environment, we encourage you to apply for this exciting opportunity. Join our team and contribute to the success of our data-driven initiatives while shaping the future of our data infrastructure.

GREAT PLACE TO WORK®

illumin is certified as a Great Place to Work® after a thorough and independent analysis conducted by @Great Place to Work Canada. This certification is based on direct feedback from employees, provided as part of an extensive and anonymous survey about the workplace experience. Check out our website here.

DISCLAIMER

This description has been designed to indicate the general nature and level of work performed by the employee within this position. However, the actual responsibilities, duties, qualifications, and experience may vary. The Employee may perform other related duties as required to meet the ongoing needs of the organization. Information contained in this job posting/description is subject to change.

DIVERSITY, INCLUSION & EQUAL EMPLOYMENT OPPORTUNITIES

illumin is committed to the principle of equal employment opportunity for all our people and to providing a work environment free of discrimination and harassment. We expect and require the cooperation of all our people in maintaining an environment with mutual respect by and for all our employees and applicants.

All employment decisions at illumin are based on business needs, job requirements and individual qualifications, without regard to race, colour, ancestry, creed (religion), place of origin, ethnic origin, citizenship, sex (including pregnancy, gender identity), sexual orientation, age, marital status, family status, political belief, physical or mental disability, receipt of public assistance, or irrelevant record of the offence.

illumin provides accommodations for individuals with disabilities. If you require accommodation, please contact us by e-mail at TalentAcquisition@illumin.com. This ensures that the appropriate accommodations are in place during the recruitment and selection process and before you begin your journey with us.

Let us know what we can do to help you be successful during your recruitment experience at illumin.

Flawless is an award winning film technology company pioneering the generative AI revolution in filmmaking. Solving some of the biggest problems filmmakers face by empowering them with groundbreaking AI powered post production tools, allowing on screen dialogue to be visually changed without the need to reshoot or go back to set. The world’s first system has won multiple awards including TIME Best Inventions.

Founded in 2020 by Hollywood director, Scott Mann and serial technology entrepreneur Nick Lynes, Flawless is opening a world of new possibilities for filmmakers whilst ensuring the responsible adoption of generative AI. With headquarters in London and LA, Flawless has established an exceptional team of 100 world leaders in science, film and technology that have come from the likes of Adobe, Google, Lionsgate, NASA, Sony, Facebook, Microsoft and Apple (click here to find out more).

We're entering a very exciting time as we have begun to commercialise our product and are now looking to hire a Technical Support Engineer to join our Santa Monica office. You will be teaming up with Paul McCourt our Head of Information Technology & Security to help implement new IT services as well as enhance and expand our current systems to enable us to scale the business securely. You will be a key point of contact between all departments within Flawless, which includes our scientific research, AI, development, post production, VFX, product design and senior management teams globally. The successful applicant will be expected to work autonomously helping to identify and resolve technical issues encountered across our organisation. 

Requirements

• Strong experience troubleshooting, configuring and resolving technical issues with the use of a help-desk management system such as Atlassian, Freshdesk or Zendesk. 
• A history of supporting and maintaining Windows and Mac operating systems throughout an organisation of 200+ users. 
• A background working with Google Workplace, Microsoft 365 as well as Active Directory/Group policy. 
• Knowledge and experience with single sign-on identity management services such as Okta, AzureAD, and PingIdentity. 
• Experience in administration of endpoint security protection services such as Webroot, CrowdStrike, and Defender. 
• Knowledge or switches, routers and wifi access points.

You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that’s caring, creative and collaborative.

In addition to this you'll receive: 

- Autonomy 

- Competitive Salary 

- Stock Options

- Comprehensive medical, dental, and vision insurance 401(k) plan

Flawless is proud to emphasize an equal opportunity, safe environment for people to do their best work. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Position Summary

We are looking for a self-motivated Software Development Engineer to become part of our innovative team. In this role, you will be responsible for developing high-quality software that will play a key role in shaping the future of AI and machine learning.

Key Responsibilities:

• Collaborate with our team to design, develop, and maintain software systems and applications.
• Write clean, maintainable, and efficient code in languages such as Ruby, Python, Java, JavaScript, etc
• Implement and test software components and ensure that they meet design specifications.
• Participate in code and design reviews to maintain our high development standards.
• Work closely with other team members to troubleshoot, debug, and improve existing software systems.
• Contribute to all phases of the software development lifecycle, from concept to deployment.
• Engage with cross-functional teams to understand and translate business requirements into software solutions.

• Bachelor's Degree in Computer Science, Software Engineering, or a related field.
• 1-2 years of experience in software development.
• Proficiency in one or more programming languages such as Ruby, Python, Java, JavaScript, etc
• Demonstrated experience in Ruby on Rails, web development and distributed systems.
• Strong understanding of algorithms and data structures.
• Work experience in designing relational database management systems (RDBMS) or NoSQL databases.
• Familiarity with AI and machine learning concepts is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong verbal and written communication skills.
• Ability to work effectively in a fast-paced, dynamic environment.

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

 About the team

The Audio Analytics team operates within the Machine Learning Engineering group that develop solutions to process audio communications for the Smarsh Enterprise Conduct product.

This team makes extensive use of GPU acceleration to process audio streams to identify spoken languages, transcribe these languages to text and identify the participants.

The team also leverage multiple cloud vendor speech-to-text products to provide greater language support.

Essential Functions

• Championing Quality across the Audio Analytics product group
• Establish Quality and automation goals for the product group, Quality plans by-product with no-go authority on releases based on Quality criteria.
• Drive the Quality and automation roadmap and implementation of standards, methods, metrics, and procedures ensuring and evaluating the Quality and automation of our software products.
• Establish a Quality measurement system via (ideally automated) dashboards or similar.
• Lead and instill a “sense of urgency” for product and process improvement to meet and exceed customer requirements

• Provide technical leadership and mentoring for engineers in the team.
• Lead the design and development of the Audio Analytics solution.
• Build reusable code and libraries that ensure best possible usability, performance, Quality, and responsiveness.
• Remove obstacles that prevent teams from achieving their goals
• Transform Engineering practices to achieve the strategic goal of new code deployed in Production multiple times a week via Continuous Delivery (CD) pipelines.

• Hiring outstanding engineers and retaining top talent.
• A supportive collaborator who can offer and hear constructive feedback.

• Collaborate with Research, Data Science, Product Management, Program Management and other stakeholders in prioritizing the right set of Quality initiatives to meet business goals.
• Collaborate with peer engineering leaders and architects in Quality strategy development and execution

• Minimum 14+ years of Software Engineering, 4+ years in technical leadership/Management
• Has a strong technical background and highly outcome-oriented mindset in Software Development, Quality engineering and Automation
• Good experience in Python, Java and Java Enterprise technology applications architecture, design, development, and support
• Strong experience in Quality assurance of an enterprise-class SaaS product
• Strong experience in Automated Testing of backend and front-end driven products
• Expertise in building Micro-Service based architectures, Containerization & Cloud Technologies
• Demonstrated experience in building and motivating large global teams.
• Experience on SCRUM methodology and operation in an AGILE development environment
• Thorough understanding of software development lifecycle, DevOps (build, Continuous Integration, Continuous deployment tools) and best practices.
• Cloud Native Abstraction technologies like Kubernetes or equivalent highly desirable

About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

About the team

As a Machine Learning Engineer, you will work closely with product to create features our customers love. You will be using the latest tools and modern cloud platforms to build scalable enterprise grade systems. You will work with a talented cross functional agile team to design, build and deliver high quality, secure and resilient SaaS products.

Essential Functions

• Collaborate closely with cross-functional teams to build performant applications. 
• Build APIs leveraged by web based and streaming solutions designed with security and scalability as key tenants.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Perform technical reviews and audits of the application.
• Provide feedback to peers through code reviews and merge requests.
• You grok new material quickly and thrive in a fast-paced development environment.
• You provide constructive technical feedback and mentorship where appropriate.
• You demonstrate excellent software design and technical decision-making skills to meet solution needs.
• You are a self-starter, confident, creative, an effective communicator and a team player.
• You love the work you do and want to work with similarly passionate people.
• You are pragmatic and effectively prioritize, estimate, and scope to deliver software on time with quality.
• You write testable and maintainable software and are serious about software quality. 

• Minimum 4 years industry experience.
• BS in CS/Masters in CS or equivalent
• Advanced programming skills in relevant languages.
• Strong analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Good understanding and experience in modern software programming/engineering.
• Strong computer science fundamentals: data structures, algorithms, design patterns
• Understanding of big data problems and scaling solutions to meet requirements

• Proficiency with a JVM language (Kotlin, Java, etc.)
• Proficiency with Linux
• Experience leveraging RDBMS (MySQL, Postgres)
• Experience with RESTful API design
• Experience with Microservices
• Experience with Kubernetes
• Experience with Docker
• Familiarity with NoSQL (Elasticsearch, Mongo, etc.)
• Familiarity with Python

About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Position Summary

Appen is seeking a highly skilled and motivated Senior Software Engineer to join our dynamic team. In this role, you will use your extensive knowledge of software development to build and enhance complex systems and applications, contributing to the evolution of AI and machine learning.

Key Responsibilities:

•  Design, develop, and implement advanced software applications using languages such as Ruby, Python, Java, JavaScript, etc
• Ensure the performance, quality, and responsiveness of applications by identifying bugs and solving complex problems.
• Collaborate effectively with product managers, data scientists, and other engineers to define and achieve project goals.
• Mentor junior developers, providing guidance on coding standards, design principles, and the application of new technologies.
• Lead code and design reviews, championing high-quality software development and fostering a culture of continuous improvement.
• Contribute to all stages of the software development lifecycle, from ideation to deployment and maintenance.
• Translate business requirements into robust, scalable, and secure software solutions.

• Bachelor's Degree in Computer Science, Software Engineering, or a related field. A Master's Degree is a plus.
• 4-5 years of experience in software development.
• Proficiency in multiple programming languages such as Ruby, Python, Java, JavaScript, etc
• Hands-on experience developing software using agile methodologies.
• Expert knowledge in Ruby on Rails, web development and distributed systems.
• Work experience in designing relational database management systems (RDBMS) or NoSQL databases.
• Deep understanding of algorithms, data structures, and design patterns. Strong analytical and problem-solving skills.
• Experience with AI and machine learning is highly desirable.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Demonstrated leadership skills and ability to mentor junior team members.

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Position Summary 

Appen is on the lookout for a seasoned Senior Data Engineer to join our rapidly expanding team. As a Senior Data Engineer, you will leverage your deep technical expertise and leadership skills to drive the development of cutting-edge software solutions that will shape the future of AI and machine learning. 

Key Responsibilities:

• Design, build, and manage large scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS.
• Ensure the performance, availability, and security of datasets across our organization, utilizing AWS's robust suite of tools for data management.
• Collaborate with data scientists, software engineers, product managers and other key stakeholders to develop data-driven solutions and models.
• Translate complex functional and technical requirements into detailed design proposals and implement them .
• Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team.
• Identify, troubleshoot, and resolve complex data-related issues.
• Champion best practices in data management, ensuring the cleanliness, integrity, and accessibility of our data.
• Optimize and fine-tune data queries and processes for performance. Evaluate and advise on technological components, such as software, hardware, and networking capabilities, for database management systems and infrastructure.
• Stay informed on the latest industry trends and technologies to ensure our data infrastructure is modern and robust.

• Bachelor's Degree in Computer Science, Information Systems, or a related field. A Master's Degree is preferred.
• 5-7 years of hands-on experience with AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow.
• Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows.
• Experience with Python, and/or Java.
• Deep understanding of data structures, data modeling, and software architecture.
• Experience with AI and machine learning technologies is highly desirable.
• Strong problem-solving skills and attention to detail.
• Self-motivated and able to work independently, with excellent organizational and multitasking skills.
• Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders.

#LI-Onsite

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

Cognitiv leverages deep learning artificial intelligence to build custom algorithms that more accurately and efficiently predict consumer purchase behavior. Each marketer has a unique set of goals, which is why Cognitiv created NeuralMind, a deep learning platform capable of automatically building custom algorithms that simultaneously consider the user, the context, the message, and the campaign objectives. We combine deterministic data and advanced processing techniques to continuously train these algorithms as they optimize our clients’ key performance indicators (KPIs), predicting consumer behavior in order to autonomously drive full-funnel marketing performance at scale.

Come join Cognitiv as a Software Engineer I, .NET and be a part of our fast-growing company on the cutting edge of artificial intelligence! We are looking for a talented, highly motivated software engineer with proficiency in C# programming. This engineer will play a key role in the development of our proprietary deep learning platform. Together with Cognitiv’s team of engineers and data scientists, you will help build the next generation of tools to train and execute artificial neural networks at scale to solve complex big data problems.

This position will be located in the Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

Core Responsibilities

• Work with existing software engineering team to develop new modules and maintain/optimize existing modules
• Implement back-end services using C# and Postgres
• Build web APIs for consumption by internal tools and external partners
• Develop automated testing and benchmarking routines

• BS in Computer Science or related field
• 1+ years of experience with C# (entry level candidates encouraged to apply)
• Familiarity with SQL and relational databases
• Full understanding of software fundamentals
• Strong written and oral communication skills; ability to effectively articulate technical challenges and solutions
• Used to being held to high expectations
• Thrives in high intensity, high reward environments

• Experience using AWS EC2, S3, and Athena
• Experience with SQL databases such as Postgres

• $100,000-$125,000 base salary + equity

Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to job-related knowledge, level of relevant experience, education and skills. Base salary is just one component of your total rewards package at Cognitiv. Employees are eligible for equity and various benefits.

Here are some of the many benefits that our employees receive:

• Medical, Dental and Vision coverage, including some plans that are 100% employer paid

• 12 weeks paid parental leave

• Unlimited PTO

• Hybrid work model

• Lunch reimbursement

• Fitness reimbursement

• Cell phone reimbursement

• 401(k) plan

• Employee Assistance Program

• Pre-tax commuter benefits

Cognitiv has been revolutionizing the ad tech space for the last 7 years as the only programmatic buying platform to leverage Deep Learning in real-time. We use Deep Learning (the most sophisticated machine learning) to build custom algorithms for digital marketers to help grow their customer base. We have seen explosive growth and are looking for talented people who are looking to affect change in a rapidly growing organization and industry to join the team.

Cognitiv is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Flawless AI is an award winning film technology company pioneering the generative AI revolution in filmmaking. Solving some of the biggest problems filmmakers face by empowering them with groundbreaking AI powered post production tools, allowing on screen dialogue to be visually changed without the need to reshoot or go back to set. The world’s first system has won multiple awards including TIME Best Inventions.

Founded in 2020 by Hollywood director, Scott Mann and serial technology entrepreneur Nick Lynes, Flawless is opening a world of new possibilities for filmmakers whilst ensuring the responsible adoption of generative AI. With headquarters in London and LA, Flawless has established an exceptional team of 100 world leaders in science, film and technology that have come from the likes of Adobe, Google, Lionsgate, NASA, Sony, Facebook, Microsoft and Apple (click here to find out more).

We are now looking to hire a Senior DevOps Engineer for our LA office to support us in enhancing our platform to make it more efficient and scalable, whilst supporting the rapid innovation happening within our Engineering, Film, and Science teams.

As a Senior DevOps Engineer, you'll be spending the majority of your time working with our VFX, Production, and Science teams as well as the wider DevOps and Engineering function to contribute to the future architecture, design, and tooling within Flawless. As a Senior DevOps Engineer, your work will be very varied whilst working on the latest tools and technology.

Requirements

• Experience building and supporting infrastructure and services in AWS.
• Exposure to a range of different configuration management tooling.
• Experience with IaC automation using Terraform or CloudFormation
• A background working with and maintaining Linux servers.
• Experience working on CICD pipelines (we use Github Actions)

You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that’s caring, creative and collaborative.

In addition to this, you'll also receive:

- Autonomy

- A hybrid working environment

- Competitive Salary

- Stock Options

- Comprehensive medical, dental, and vision insurance 401(k) plan

Flawless is proud to emphasize an equal opportunity, safe environment for people to do their best work. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Tegus is the leading market intelligence platform for key decision makers. We power some of the world’s most well-respected institutional investors, corporations, and consultancies through the largest and most comprehensive database of primary and market information. Our products and services enable clients to discover unmatched insights and answers to the most challenging questions they face to help them make better informed decisions. (And because a job description can only contain a fraction of how we operate, click here to learn more about the Tech Team at Tegus!)

As a senior machine learning engineer at Tegus, your job will be to build product features powered by machine learning on top of our unique, proprietary datasets.  The core of this data is an ever-growing set of “expert interviews”--primary research conversations between financial analysts and domain experts, arranged by Tegus, who discuss the ins-and-outs of a particular company’s business.  In 2021, Tegus acquired BamSEC, adding a comprehensive database of SEC filings and earnings/events transcripts to the platform.  And last year, through our acquisition of Canalyst, we added custom financial models and cleaned financial time series data.

Because so much of this data is unstructured text, your work will lean heavily towards NLP and large language models.  While we make extensive use of OpenAI API’s, we plan to explore other vendors, future open source models, and perhaps even custom-trained or fine-tuned models.

As a team, we have already launched LLM-powered transcript summaries and a search/browse experience based on topic extraction.  A main focus of our upcoming work will be a chat agent for financial professionals that has access to all of our underlying datasets.

Our work is core to the future of the company.  You will join as one of the first hires, reporting to the VP of Machine Learning, and will help to set the culture and practice of how we do machine learning at Tegus.  You will also get to work on real business problems using some of the latest and most exciting tools and methods in the industry.

Responsibilities

• Collaborate with product managers and product engineers to prototype, build, and release features in the Tegus Platform that leverage the latest advances in machine learning applied to our proprietary dataset of financial text.
• Write production python code in our internal machine learning packages and deploy production microservices.
• Stay on top of the latest advances in machine learning, including reading and presenting research papers.
• Influence how we architect and deploy our machine learning code and services.
• Mentor and pair with one or more junior ML engineers.

• Bachelor’s degree in a quantitative discipline or demonstrated experience working on data-intensive problems (Masters or PhD preferred but not at all required).
• 5 years of experience working in a data-intensive or machine learning role, with at least 2 of those years in an industry role.
• Demonstrated experience training and deploying machine learning models with a preference towards NLP applications.
• Deep experience in the python data and machine learning ecosystem, including experience with pytorch.
• Familiarity with docker, python API frameworks like FastAPI, and software engineering best practices.
• Preferred: Previous experience deploying microservices on kubernetes.
• Practical, iterative, product-focused mindset over slower, methodical, research-minded approach.

• Comprehensive medical, dental, and vision plans. 
• 401K plan with an employer match.
• Parental leave for all parents.
• All employees are granted equity through our Restricted Stock Units (RSU) Program.
• Unlimited paid vacation, flexible work hours, and 10 observed paid holidays per year.
• Employer funded long-term disability.
• Fantastic culture with regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• Generous employee referral bonus program.
• The opportunity to attend peer-nominated quarterly DEI events.
• Working for a thriving, performance-based company that values promoting from within, career advancement and transparency.
• Work from our state of the art office in the heart of Chicago’s Loop featuring standing desks, mother rooms, nursing parent neutral bathrooms, subsidized gym access, and full amenity floor.
• Commuter benefits & a fully stocked kitchen with rotating snacks and beverages.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Tegus we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Tegus, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. In addition to federal law requirements, Tegus complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Tegus expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

The only @email addresses we use are @tegus.co or @tegus.com. If you receive emails from any other domain (including .us), please assume they are fraudulent and let us know by sending an email to fraudreporting@tegus.com

Who we are

Lilt is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enable global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With Lilt, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

Our founders, Spence and John met at Google working on Google Translate.  As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – Lilt. 

At its core, Lilt has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so Lilt assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, Lilt has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.

As a result, Lilt’s AI technology foundation is similar to ChatGPT and Google Translate, before our patented Contextual AI Engine, connector-first approach, and human-adapted feedback.

Our team is headquartered in San Francisco with additional offices in Berlin, Indianapolis, Dublin and London.

About Engineering at Lilt

Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.

About the Role

As a Senior Fullstack Engineer, UX, you will work with a group of talented, mission-driven colleagues to propose ideas to define, drive, and execute projects on Lilt’s Linguist GUI and App Server–the front door to our translation services. You will enable linguists to deliver truly localized experiences. UX is at the forefront of the company strategy, therefore this is a high-visibility, high-impact role with enormous growth opportunities.

You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows.

Qualifications

• Bachelor of Science or Masters of Science in Computer Science (Master preferred) 
• Experience working on large-scale, distributed software systems 
• Experience with, or at least willingness to learn, Node.js and related app server technologies 
• Significant large-scale software engineering experience with Java and related JVM technologies 
• Solid relational database knowledge and significant experience with very large MySQL installations are highly valued 
• Basic knowledge of NLP and machine learning techniques is highly valued
• Professional fluency in English

Authorization to work in the US is a precondition of employment.

Lilt is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

About Us

Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.

With purpose-built applications, proven methodologies, and best practices designed to drive effective sales onboarding and ongoing readiness, mindtickle enables company leaders and sellers to continually assess, diagnose and develop the knowledge, skills, and behaviors required to engage customers and drive growth effectively. We are funded by great investors, like – Softbank, Canaan partners, NEA, Accel Partners, and others.

Job Brief

You should have a distinguished track record in research and development, supported by significant publications, patents, or academic achievements in the field of data science, machine learning, and/or artificial intelligence. Additionally, you should have a proven ability to translate business challenges into research problems and identify opportunities for technological innovation.

Responsibilities:

• You will be responsible for understanding business problems, translating them into technical problems while keeping business objectives and our mission in mind, and finding solutions using any tools at your disposal, including but not limited to data mining, natural language processing (NLP), speech processing, computer vision, and generative AI.
• You will be expected to stay up-to-date with technological advances in the areas of data science, machine learning, and artificial intelligence, and keep the Mindtickle team informed about new possibilities and better solutions enabled by these advancements.
• You will lead the end-to-end production-level coding process involving data science and machine learning algorithms, unit and integration testing, deployment, and optimization. This includes the refinement of models on various platforms, including cloud, desktop, mobile, or edge.
• As a lifelong learner, you will be expected to consistently enhance your skill set, contribute novel articles to journals and conference proceedings, and/or file patents. You will also participate in evangelism activities and contribute to the development of the AI ecosystem.

• As a staff engineer, your role extends beyond technical prowess. You will be expected to share your knowledge with colleagues, partners, and customers, conduct sessions on AI topics, mentor junior engineers, and foster a culture of continuous learning within the team. You will also participate in workshops, conferences, and seminars/webinars as a speaker, instructor, demonstrator, or jury member.

• You will design and develop high-volume, low-latency applications for mission-critical systems, ensuring high availability and performance.
• You will work closely with the product teams to incorporate best practices and utilize world-class tech stacks.
• You will be responsible for setting up tracking/alerting systems to ensure the reliability and performance of the infrastructure/software built.
• Your role will include sourcing, cleaning, and analyzing data, and setting up efficient storage and retrieval pipelines.

• You should possess exceptional communication skills, including written, verbal, and presentation abilities.
• A collaborative attitude is essential; you must be a strong team player.
• Your problem-solving skills should be robust and structured.
• Flexibility is key; you must be agile enough to learn new technologies when required.

• A B.Tech / BS / BE / M Tech / MS / ME in CS or equivalent from Tier I / II or Top Tier Engineering College and University.
• 8+ years of solid software (application or infrastructure) development experience and refined software engineering skills (Python, R, C, C++ / Java / Scala / Golang).
• Deep expertise and hands-on knowledge of operating systems, MySQL and NoSQL databases (Redis/couchbase/mongodb/ES or any graphDB).
• Comprehensive understanding of Machine Learning Algorithms, Linear Algebra, and Statistics.
• Working knowledge of Amazon Web Services (AWS).
• Experience with Docker and Kubernetes is highly desirable.
• In-depth experience with Natural Language Processing, Recommendation Systems, or Search Engines.
• Prior experience in leading and mentoring a team of junior engineers is a must.

Our Culture

As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks, great learning opportunities & growth.

Our culture reflects the globally diverse backgrounds of our employees along with our commitment to our customers, each other, and a passion for excellence.

To know more about us, feel free to go through these videos:

1. Sales Readiness Explained: https://www.youtube.com/watch?v=XyMJj9AlNww&t=6s

2. What We Do: https://www.youtube.com/watch?v=jv3Q2XgnkBY

3. Ready to Close More Deals, Faster: https://www.youtube.com/watch?v=nB0exreVU-s

To view more videos, please access the below-mentioned link:

https://www.youtube.com/c/mindtickle/videos

Mindtickle is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As a Senior QA Engineer / Software Development Engineer in Test (SDET), you will play a pivotal role in maintaining the high-quality standard of our software products. This involves in-depth involvement in the entire software development life cycle (SDLC), primarily focusing on the design and implementation of testing frameworks and the execution of automated and manual tests. You should be capable of creating robust test plans, cases, and strategies, and working closely with cross-functional teams to ensure product requirements are met. You will be expected to take a proactive role in identifying, reporting, and troubleshooting software issues. If you have a passion for delivering high-quality, reliable software, and enjoy working in a fast-paced, agile environment, this position could be a perfect fit for you.

Key Responsibilities:

• Design, implement, and maintain test automation frameworks, and perform API/UI tests.
• Collaborate effectively with QA, development, DevOps, and product teams, ensuring all software features meet the defined specifications and requirements.
• Develop and maintain effective tools and testing scripts to support QA and engineering teams.
• Identify, document, and communicate software defects to cross-functional teams and ensure timely resolution.
• Foster test code coverage improvement by closely collaborating with the development team.
• Establish, maintain, and update test plans and cases.
• Mentor junior team members, providing guidance on automation frameworks, tests, defect detection, bug reporting, and debugging.
• Identify features suitable for automation and streamline testing procedures through scripting.
• Manage product testing environments on AWS and Kubernetes.
• Perform end-to-end stress and load tests.

• 3-5 years of experience in a QA engineering role, ideally with an SDET background.
• Comprehensive understanding of the software development lifecycle (SDLC) and established test methodologies.
• Proficient in coding and debugging.
• Experience in creating and executing diverse test cases for UAT and functional testing.
• Hands-on experience with Python, Selenium WebDriver, JavaScript, SQL, HTML/CSS, Jenkins, Postman, and AWS.
• Self-motivated and detail-oriented with strong problem-solving skills. Capable of working both independently and collaboratively to resolve complex issues.
• Experience working in a scrum-based agile environment.
• Continual learner with a passion for new technologies.
• Ability to work in a high-paced, dynamic environment, adapting to rapid changes in web application technology.
• Excellent communication skills.
• BS degree in Computer Science or a related technical field.
• Previous experience as a software engineer is highly desirable.

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

Work at Radformation

Cancer rates increase year after year, yet high-quality care is not universal. By automating and standardizing the treatment planning workflow, Radformation aims to create a system where any patient anywhere can receive the same high-quality care.

We strive daily to reduce cancer's global impact and help save more of the 10 million lives it claims each year. Our unwavering commitment is to deliver reliable, high-quality, automated solutions that allow clinics to standardized care for every single person in need.

Radformation is seeking a self-motivated Machine Learning / AI Engineer to join our innovative and fast moving team.  This role is ideal for someone who wishes to use their machine learning and AI skills to improve cancer care throughout the world.   You will work within Radformation’s fully remote teams to develop radiation oncology efficiency and automation software.  You will write/maintain data ETL pipelines, build/test AI models and support FDA submissions. You will work with Radformation’s cloud team to troubleshoot problems and work with the AI team to address model issues and propose improvements.

For this position we prefer candidates who have a background developing machine learning models deployed as part of clinical software.  We are looking for an engineer who has experience building, training, and tuning models.  Python skills are essential.

Responsibilities

• Write / maintain ETL pipelines.
• Build / test AI models.
• Support FDA submissions.
• Participating in Design Reviews, Risk and Hazard Analyses, and other formal reviews.
• Attend daily stand-ups and related project meetings.

• MS with 3+ years of experience in related field: Computer Science, Mathematics, Statistics, or Medical Physics/Radiation Oncology
• Languages : Expert programmer in python required.   Experience with other high level languages like, C#, C++, Java is desirable.
• Fluent in PyTorch & TensorFlow.
• Working experience with model building, parameter tuning and training models.
• Experience building CNNs with U-Net.
• Code Repos : Expert user of any of Bitbucket, Github, Azure DevOps, or similar
• GIT - you will need to become an expert if not already.

• Image processing including resampling, smoothing, segmentation
• Clinical programming experience with HL7 or DICOM
• Experience with HIPAA and Medical Device regulations in software development

What makes us so RAD?

We take care of our people!

Radformation offers top-tier medical, dental, vision care for employees and their families. Each role comes with stock options, our 401(k) & employer match vest immediately and you'll never have to stress about taking the time you need with self-managed PTO. We support our growing RAD families with generous parental leave, along with additional part-time work to help transition back into the swing of things. We are a fully remote team and while we may be apart, virtual events, yearly retreats and a collaborative work environment keep us close and connected.

Cancer transcends any individual differences we may have. That's why at Radformation we celebrate diversity and are committed to creating an inclusive environment for all employees. We are proud to be an equal opportunity workplace and an affirmative action employer.

Tegus is the leading market intelligence platform for key decision makers. We power some of the world’s most well-respected institutional investors, corporations, and consultancies through the largest and most comprehensive database of primary and market information. Our products and services enable clients to discover unmatched insights and answers to the most challenging questions they face to help them make better informed decisions. (And because a job description can only contain a fraction of how we operate, click here to learn more about the Tech Team at Tegus!)

As a machine learning engineer at Tegus, your job will be to build product features powered by machine learning on top of our unique, proprietary datasets.  The core of this data is an ever-growing set of “expert interviews”--primary research conversations between financial analysts and domain experts, arranged by Tegus, who discuss the ins-and-outs of a particular company’s business. In 2021, Tegus acquired BamSEC, adding a comprehensive database of SEC filings and earnings/events transcripts to the platform. And last year, through our acquisition of Canalyst, we added custom financial models and cleaned financial time series data.

Because so much of this data is unstructured text, your work will lean heavily towards NLP and large language models. While we make extensive use of OpenAI API’s, we plan to explore other vendors, future open source models, and perhaps even custom-trained or fine-tuned models.

As a team, we have already launched LLM-powered transcript summaries and a search/browse experience based on topic extraction. A main focus of our upcoming work will be a chat agent for financial professionals that has access to all of our underlying datasets.

Our work is core to the future of the company. You will join as one of the first hires, reporting to the VP of Machine Learning, and will help to set the culture and practice of how we do machine learning at Tegus. You will also get to work on real business problems using some of the latest and most exciting tools and methods in the industry.

Responsibilites

• Collaborate with product managers, product engineers, and more senior ML engineers to prototype, build, and release features in the Tegus Platform that leverage the latest advances in machine learning applied to our proprietary dataset of financial text.
• Write production python code in our internal machine learning packages and deploy production microservices.
• Stay on top of the latest advances in machine learning, including reading and presenting research papers.

• Bachelor’s degree in a quantitative discipline or demonstrated experience working on data-intensive problems (Masters or PhD preferred but not at all required)
• 2 years of experience working in a data-intensive or machine learning role
• Demonstrated experience training and deploying machine learning models with a preference towards NLP applications
• Experience in the python data and machine learning ecosystem, including experience with pytorch
• Basic familiarity with docker, python API frameworks like FastAPI, and software engineering best practices
• Practical, iterative, product-focused mindset over slower, methodical, research-minded approach

• Comprehensive medical, dental, and vision plans. 
• 401K plan with an employer match.
• Parental leave for all parents.
• All employees are granted equity through our Restricted Stock Units (RSU) Program.
• Unlimited paid vacation, flexible work hours, and 10 observed paid holidays per year.
• Employer funded long-term disability.
• Fantastic culture with regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• Generous employee referral bonus program.
• The opportunity to attend peer-nominated quarterly DEI events.
• Working for a thriving, performance-based company that values promoting from within, career advancement and transparency.
• Work from our state of the art office in the heart of Chicago’s Loop featuring standing desks, mother rooms, nursing parent neutral bathrooms, subsidized gym access, and full amenity floor.
• Commuter benefits & a fully stocked kitchen with rotating snacks and beverages.

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Tegus we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Tegus, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. In addition to federal law requirements, Tegus complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Tegus expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

The only @email addresses we use are @tegus.co or @tegus.com. If you receive emails from any other domain (including .us), please assume they are fraudulent and let us know by sending an email to fraudreporting@tegus.com

About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by $250+ million from top-tier investors like Andreessen Horowitz, NEA, and Addition.

Anyscale is based in San Francisco, CA. Employees are required to come in office 3x a week.

About the role:

We're looking for passionate, motivated people who are excited to build infrastructure and tooling for next generation machine learning applications. We're hiring exceptional Software Engineers for the distributed training team at Anyscale, which is responsible for building and maintaining open source machine learning libraries widely adopted across the industry. 

We are particularly looking for Senior or staff and above candidates who can help cast and execute on a vision for the future of machine learning training infrastructure. We are open to both Individual Contributors and people who are primarily technical but have prior experience managing a small team. 

About the Distributed Training team:

The team's mission is to make it really easy to do distributed machine learning on Ray and Anyscale. Specifically, our team maintains and develops features for a broad number of libraries — including Ray Train (distributed deep learning), Ray Tune (distributed hyperparameter tuning), and XGBoost-on-Ray.

Our team is the most user-facing engineering team on the open source side, collaborating with ML engineering teams at organizations like Shopify, Uber, and Bytedance.

As part of this role, you will:

• Build performant, scalable, fault-tolerant distributed machine learning libraries that power the next generation of machine learning platforms around the world
• Work on difficult architectural problems and turn them into reality 
• Work with a team of leading experts in the areas of distributed systems and machine learning
• Work with engineering managers and product managers to lead and grow an extremely talented team of software engineers
• Work closely with open source community (with ML researchers, ML engineers, data scientists) to scope and build new abstractions for scalable machine learning
• You like to work closely with end users and iterate on the product with them
• Help us build and shape a world-class company

• 5+ years of building, scaling and maintaining software systems in production environments
• Solid fundamentals in algorithms, data structures, system design
• Experience with machine learning frameworks and libraries (PyTorch, Tensorflow)
• Experience designing fault-tolerant distributed systems
• Strong architectural skills

• Experience working with a cloud technology stack (AWS, GCP, Kubernetes)
• Experience building machine learning training pipelines or inference services in a production setting
• Experience with managing and maintaining open source machine learning libraries
• Experience managing small teams in pursuit of an ambitious technical goal
• Experience using Ray

• At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.

• Stock Options
• Healthcare plans, with premiums covered by Anyscale at 99%
• 401k Retirement Plan
• Wellness stipend
• Education stipend
• Paid Parental Leave
• Flexible Time Off
• Commute reimbursement
• 100% of in office meals covered

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Position Summary

At Appen, we are seeking an experienced and dedicated Principal Software Engineer to lead the way in the development of innovative AI and machine learning solutions. As a Principal Software Engineer, you will be at the forefront of our efforts to design and implement complex software systems, playing a key role in driving our mission to transform AI and machine learning.

Key Responsibilities:

• Lead the design, development, and implementation of high-performing, scalable, and secure software systems using technologies such as Java, Python etc. 
• Provide strategic technical leadership and direction across multiple projects and teams. 
• Collaborate closely with key stakeholders, including product managers, data scientists, and other engineers to drive project outcomes and deliver high-quality software solutions. 
• Serve as a mentor and guide to junior and mid-level engineers, fostering a culture of continuous learning and improvement. 
• Drive the resolution of complex technical challenges, ensuring the optimal performance and reliability of our software systems. 
• Champion the adoption and enforcement of best practices in software development, including code reviews, testing, and documentation. 
• Translate strategic business needs into practical, scalable architecture to develop innovative software solutions. 

• Bachelor's Degree in Computer Science, Software Engineering, or a related field. A Master's Degree or higher is preferred. 
• 10+ years of experience in software development. 
• Demonstrated expertise in multiple programming languages such as Java, Python etc. 
• Expert knowledge in Java, Spring Boot, and JPA/Hibernate development platform. 
• Work experience in designing relational database management systems (RDBMS) or NoSQL databases. 
• Deep understanding of advanced algorithms, data structures, and software design principles. 
• Prior experience with AI and machine learning technologies is highly desirable. 
• Exceptional problem-solving skills and keen attention to detail. 
• Outstanding leadership and communication skills, with a proven track record of mentoring and guiding teams. 
• Ability to work effectively and deliver results in a fast-paced, dynamic environment. 

#LI-Onsite

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As a QA Engineer, you will play a vital role in ensuring the quality and reliability of our software products. You'll participate in the software development life cycle (SDLC), focusing on quality assurance tasks such as designing test cases, executing tests (both manual and automated), and documenting and resolving software defects. Working closely with cross-functional teams, you will ensure that all software features meet the defined specifications and requirements. We would love to meet you if you have a keen eye for detail, enjoy problem-solving, and thrive in a fast-paced, collaborative environment.

Key Responsibilities:

• Design, develop, and execute test cases for our SaaS application and contribute to the establishment and improvement of test procedures.
• Collaborate effectively with QA, development, DevOps, and product teams to ensure the quality of our software features.
• Assist in the development and maintenance of tools and testing scripts to support QA and engineering teams.
• Identify, document, and communicate software defects to cross-functional teams and contribute to their resolution.
• Assist in increasing test code coverage by working closely with the development team.
• Create and maintain test plans and cases as per product requirements.
• Contribute to identifying features suitable for automation and participate in automation efforts.

• 1-3 years of experience in a QA engineering role.
• Solid understanding of the software development lifecycle (SDLC) and established test methodologies.
• Proficiency in executing test cases and debugging.
• Experience in manual and automated testing.
• Hands-on experience with Python, Selenium WebDriver, JavaScript, SQL, HTML/CSS, Jenkins, Postman, and AWS is a plus.
• Detail-oriented with strong problem-solving skills. Capable of working both independently and collaboratively to resolve issues.
• Experience working in a scrum-based agile environment.
• A continuous learner with an interest in new technologies.
• Ability to adapt and learn quickly in a high-paced, dynamic environment.
• Good communication skills.
• BS degree in Computer Science or a related technical field is desirable.
• Previous experience in a software development or software testing role is a plus.

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As a Customer Support Engineer, you will be on the front lines of providing technical support to our customers. You will troubleshoot technical issues, guide customers to use our products effectively, and contribute to improving our support processes. If you're technically savvy, have excellent problem-solving skills, and are passionate about helping customers, we invite you to apply.

Key Responsibilities:

• Provide technical support to customers, resolving issues promptly and effectively.
• Guide customers to effectively use our software products.
• Contribute to improving our support processes and documentation based on customer feedback and interactions.

• 1-3 years of experience in a technical customer support role.
• Understanding of software and technical products.
• Good problem-solving skills with a focus on customer satisfaction.
• Excellent communication skills, with the ability to explain complex concepts in a clear, simple manner.
• BS degree in Computer Science or a related technical field is a plus.

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Position Summary

Appen is on the lookout for a seasoned Staff Software Engineer to join our rapidly expanding team. As a Staff Software Engineer, you will leverage your deep technical expertise and leadership skills to drive the development of cutting-edge software solutions that will shape the future of AI and machine learning.

Key Responsibilities:

• Architect, design, and develop sophisticated software applications using technologies such as Java, Python etc. 
• Oversee the full lifecycle of software development, from conceptualization to deployment and maintenance. 
• Collaborate closely with product managers, data scientists, and other engineers to deliver robust, scalable, and secure software solutions. 
• Provide technical leadership and mentorship to junior and mid-level engineers, fostering a culture of excellence and continuous learning. 
• Lead the troubleshooting and resolution of complex software issues to ensure optimal system performance and reliability. 
• Champion the adoption of best practices in software development, including code reviews, testing, and documentation. 
• Translate strategic business needs into practical architecture and budgeting to develop high-quality software solutions

• Bachelor's Degree in Computer Science, Software Engineering, or a related field. A Master's Degree or higher is preferred. 
• 7+ years of experience in software development. 
• Proficiency in multiple programming languages such as Java, Python etc. 
• Deep understanding of advanced algorithms, data structures, and software design principles. 
• Work experience in designing relational database management systems (RDBMS) or NoSQL databases. 
• Experience with AI and machine learning technologies is highly desirable. 
• Exceptional problem-solving skills and attention to detail. 
• Outstanding communication and leadership skills, with a proven track record of mentoring and guiding teams. 
• Ability to work effectively in a fast-paced, dynamic environment. 

#LI-Onsite

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.