Top On Site Jobs

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of 1 million+ contributors worldwide, speaking 235+ languages.

Summary

High-quality AI training data necessarily requires human beings to record and transcribe speech, for example, or recognize the contents of complex images. Appen uses a crowdsourced model to engage humans at scale, while providing customers a framework to manage the cost, time, and complexity in producing human-annotated data sets. Appen relies on technology to accelerate and reduce the cost of humans preparing training data. It invests continuously in its crowd management and customer service platforms, leveraging its own in-house-developed machine-learning models as needed.

Appen’s strategy is built on four pillars:

·       Growth:  Drive revenue growth in target new markets

·       Automation:  Leverage AI and ML in labelling operations to improve the productivity and quality of customer outcomes

·       Expand:  Add new products and capabilities to expand into the broader data and AI market

·       Evolve:  Improve the scalability of our operations including sales, project delivery, and crowd management

Appen is continuing to invest in its Data for AI platform, fulfilling all customer AI needs (data sourcing, preparation, annotation, and automated testing of models) in building products and services across many industry verticals.  Although Appen is a 26-year-old profitable company with considerable resources being invested in all areas, Appen matches the pace and innovative spirit of a start-up company that offers flexible work-life balance options.

The Position

• We are looking for an experienced, driven product manager with B2B SaaS experience to drive cross-functional product initiatives that enable Appen customers to evaluate a broad range of products and services that rely on AI machine models across one or more data modalities (e.g., textual, image, video, audio)
• In this role, you will enable the success of some of the most advanced and innovative software and hardware-based capabilities across a range of industries, working from the largest tech companies right down to small, innovative, and fast-moving start-ups.  You will drive the implementation of feature sets that expand the value of the software industry’s #1 Data for AI solution. 

• Your responsibilities will demand excellent communication skills, entrepreneurial instincts, data-driven decision making, and continuous evaluation of new business cases:
• Conduct domain research and competitive analysis
• Work across engineering, data science, user experience, customer delivery, crowd management, sales, and marketing teams to develop advanced prototypes, shipping platform features, production tooling, partner integrations and validation that customer needs are met end-to-end
• Propose new initiatives, backed by business cases, to management and obtain buy-in
• Own the roadmap for one or more assigned product areas, working in close collaboration with a global team of experienced Product Managers to align on a platform vision
• Work closely with key customers and partners to solicit, validate, and deliver product refinements
• Build reporting models for tracking feature adoption, customer results, data quality trends, and customer ROI to drive key internal decision making

• BA/BS degree in computer science, applied mathematics, linguistics, or similar field
• 2+ years of experience in product management
• 2+ years of experience delivering commercial software using an agile software development methodology
• Prior experience with AI/ML technologies preferred
• Experience with metric definition, quantifying problems, and managing impact over time
• Experience using data-driven analytics to gain insights on current situations, new opportunities, and product performance
• Experience working directly with engineering and UX leaders and managers to align business, technical, and user outcomes
• Experience interviewing customers for requirements discovery
• Solid English writing and speaking communication skills

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. 

Headquartered in San Mateo, Yellow.ai is a global leader in Conversational AI, delivering autonomous, human-like experiences for customers and employees to accelerate enterprise growth. We believe that memorable conversations are at the heart of every meaningful brand engagement. Over 1100 enterprises, including Sony, Domino's, Hyundai, Sephora, Waste Connections, Ferrellgas, and Randstad, trust our generative AI-powered, no-code Dynamic Automation Platform (DAP).

DAP’s proprietary multi-LLM AI engine, DynamicNLP™, empowers us to handle 2Bn conversations every quarter across 35+ channels in 135+ languages. We're passionate about delivering conversational experiences via our Dynamic AI agents that help enterprises achieve higher customer satisfaction and employee engagement. We were recently recognized as a Challenger in the 2023 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms and have raised more than $102M from blue-chip investors with offices across six countries.

Yellow.ai is looking for a highly motivated Channel Sales Partner to join our growing sales team. You will be responsible for identifying, recruiting, and managing relationships with partners to drive revenue growth and market penetration.

Typically your work week looks like:

• Develop and execute a partner channel sales strategy that aligns with yellow's overall sales and revenue goals.
• Identify and recruit new partners that align with yellow's target markets and business objectives.
• Manage relationships with existing partners to ensure they are engaged, motivated, and successful in driving revenue growth.
• Work with partners to develop joint sales and marketing programs that drive lead generation and sales conversion.
• Collaborate with internal teams to ensure that partners have the resources and support they need to be successful.
• Provide regular reporting on partner performance, pipeline, and revenue generation.
• Develop and manage partner contracts and agreements, ensuring compliance with legal and regulatory requirements.
• Stay up-to-date with industry trends and best practices in partner channel sales, and make recommendations for continuous improvement.

• Bachelor's degree in Business Administration, Sales, Marketing, or a related field.
• 3-5 years of experience in partner channel sales, with a proven track record of driving revenue growth through partner relationships.
• Excellent communication and interpersonal skills, with the ability to build and maintain strong relationships with partners.
• Strong analytical and problem-solving skills, with the ability to analyze data, identify trends, and make strategic recommendations.
• Experience with Salesforce, Hubspot, or other CRM systems.
• Knowledge of channel sales best practices, including partner recruitment, enablement, and management.
• Ability to work independently, prfioritize tasks, and meet deadlines in a fast-paced environment.
• Strong organisational and project management skills.

Our Company's Values

Execute with Clarity & Focus - Pursue objectives with precision and unwavering focus.

Create Customer Success - Create a customer-centric culture that prioritises experience and satisfaction.

Move the Needle Everyday - Drive continuous improvement and make tangible progress each day.

Demonstrate Grit - Exhibit resilience, determination and tenacity in overcoming challenges.

Do More with Less - Maximize productivity and outcome while operating within resource constraints

One Yellow.AI Team - Foster a culture of unity and collaboration across the workforce of Yellow.AI.

Read more about us here.

yellow.ai provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, colour, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, or marital status in accordance with applicable federal, state and local laws. 

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.

Appen, a global leader in providing high-quality training data for machine learning and artificial intelligence, is seeking a dynamic and experienced Sales and Marketing HRBP to join our team based in Toronto/ Ontario, Canada. In this role, you will be responsible for providing strategic and operational HR partnership to the Sales and Marketing functions. You will collaborate closely with sales and marketing leaders, managers, and employees to drive employee engagement, develop talent, and align HR programs with business objectives. This is a key position that will contribute to Appen's success by supporting the growth and development of our sales and marketing teams.

HR Business Partnering:

• Serve as a trusted advisor to sales and marketing leaders and managers, providing guidance on HR topics, including talent acquisition, performance management, employee relations, compensation, and career development.
• Collaborate with stakeholders to understand HR needs, challenges, and opportunities within the sales and marketing functions and develop strategies to address them effectively.
• Provide coaching and support to managers on employee development, performance improvement, and career planning.

• Partner with the Talent Acquisition team to develop and implement effective recruitment strategies for sales and marketing positions, ensuring a diverse and high-quality candidate pool.
• Participate in the interview process, assessing candidates' skills, experience, cultural fit, and potential for success in the organization.
• Support onboarding activities for new sales and marketing hires, ensuring a smooth transition and positive experience.

• Design and implement initiatives to enhance employee engagement, satisfaction, and retention within the sales and marketing functions.
• Collaborate with sales and marketing leaders to identify training and development needs and create programs that promote employee growth, skill enhancement, and career progression.
• Monitor employee performance and provide guidance to managers on performance management, including goal setting, performance feedback, and recognition.

• Support the implementation of HR programs and initiatives such as performance management, talent review, compensation planning, and succession planning within the sales and marketing functions.
• Ensure compliance with employment laws, regulations, and company policies, providing guidance to managers and employees as needed.

• Utilize HR data and analytics to identify trends, insights, and areas for improvement within the sales and marketing functions.
• Generate regular reports and dashboards on HR metrics, such as headcount, turnover, employee engagement, and performance, to inform decision-making and measure the effectiveness of HR programs.

• Bachelor's degree in Human Resources, Business Administration, or a related field (Master's degree preferred).
• Minimum of 5 years of HRBP or HR generalist experience, with a focus on supporting sales and marketing functions.
• Strong understanding of HR best practices, employment laws, and regulations.
• Knowledge of the sales and marketing industry, including familiarity with sales processes, marketing strategies, and emerging trends.
• Excellent interpersonal and communication skills, with the ability to build relationships, influence stakeholders, and resolve employee relations issues.
• Proven experience in talent acquisition, employee engagement, performance management, and organizational development.
• Analytical mindset, comfortable working with HR data and generating insights for informed decision-making.
• Ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.
• Note: This requisition is a general overview and may be subject to change based on the company's specific needs and the position.

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 Zeller

At Zeller, we’re champions for businesses of all sizes, and proud to be a fast-growing Australian scale-up taking on the ambitious goal of reimagining business banking and payments.

We believe in a level playing field, where all businesses benefit from access to smarter payments and financial services solutions that accelerate their cash flow, help them get paid faster, and give them a better understanding of their finances. So we’re hard at work building the tools to make it happen.

Zeller is growing fast, backed by leading VCs, and brings together a global team of passionate payment and tech industry professionals. With an exciting roadmap of innovative new products under development, we are building a high performing team to take on the outdated banking solutions. If you are passionate about innovation, thrive in fast-paced environments, embrace a challenge, hate bureaucracy, and can’t think of anything more exciting than disrupting the status-quo, then read on to learn more. 

About the Role

As a Data Scientist you will be responsible for implementing our data science strategy - which spans analytics through to machine learning across product development, performance improvement and risk management. This is a hands-on role where no task is too small or too big for you - from day to day performance analytics all the way to advanced analytics / ML-based projects.

The Data team is part of the broader Operations team and partners across the business to provide long-term and short-term decision making support. You are comfortable working cross functionally, internally and externally driving projects and providing insight, staying multiple ‘moves’ ahead of where we are. You will have a passion for data driven insights and the application of data science to real world problems. 

Role Responsibilities

Data Operations

• Execute Zeller’s approach to the collection and use of data assets across the business
• Build processes and techniques to ensure the quality of data and information across the business and providing the basis of high trust in all of data assets;
• Work with Data Engineers to efficiently and effectively scale our data infrastructure to ensure that Data Science needs are incorporated into our growth roadmap.

• Implementation and execution of Zeller’s Machine Learning approach across all business applications and domains - from pricing to risk management and beyond. This will include, but not limited to:
• Developing and training machine learning models to improve Zeller’s fraud detection processes;
• Understanding, predicting and preventing churn by analysing customer behavioursSupport new product development ideas by providing guidance on the best use of AI/ML to develop products or supporting tools.
• Working with the business across research and day-to-day activity to provide tools, insights and BI to support decision making.
• Using data and analysis techniques to identify:
• Product improvements - including cross sell / up sell, improved personalisation, pricing and risk management;
• Process improvement - including funnel and operational efficiency optimisation and improvements to the business’ forecasting approach;
• Monetisation opportunities of Zeller’s data assets.

• 2 - 5  years of experience in BI / Data Science in a high growth environment;
• Strong mathematical & numeracy skills;
• Experience in SQL, noSQL, Python / R / Matlab - Python skills are valued;
• Understanding of ETL framework and ETL tools including Skyvia, FiveTran, Apache Airflow;
• Excellent analytical skills - the ability to identify trends, patterns and insights from data;
• Experience with ML / AI models and their application to business problems such as churn, cross sell, risk assessment and other; 
• Experience interpreting data and analysis to translate these insights into actionable outcomes / business decisions that improve Zeller’s strategy, product and operations. 

• You love to challenge the status-quo; 
• You’re agile, ambitious, and motivated to be the best at everything you do;
• Ability to work autonomously yet collaboratively;
• Excellent attention to detail;
• Presentation skills – ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand;
• Structured problem solving skills and comfortable with ambiguity;
• Be able to continually balance speed, perfection, and actionable outcomes from your analysis.

What’s in it for you?

Zeller offers a balanced, progressive and supportive work environment - with a competitive salary package, including equity from an early stage.

With competitive parental leave and other benefits on offer, now's the time to join our rapidly growing team with opportunities to develop your career - wherever your passions and skills take you.

Like the rest of the team, you’ll benefit from:

A competitive salary package, including equity from an early stage;

A balanced, progressive, and supportive work environment;

Excellent parental leave and other leave entitlements;

A fantastic office environment;

Endless learning and development opportunities;

Plenty of fun and social opportunities - we love to come together as a team;

An ability to influence and shape the future of Zeller as our company scales both domestically and globally;

Being part of one of Australia’s most exciting scale-ups.

Company Description

Govini is the leading Commercial Data company in the Defense Technology space. Built by Govini, Ark.ai is used at scale across the National Security sector of the U.S. federal government. This platform enables government analysts, program managers, and decision-makers to gain unprecedented visibility into the Companies, Capabilities, and Capital in National Security to solve challenges pertaining to Acquisition, Foreign Influence & Adversarial Capital, Nuclear Modernization, Procurement, Science & Technology, and Supply Chain. Govini has offices in Arlington, Virginia, San Francisco, California, and Pittsburgh, Pennsylvania.

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Govini end-users make scientific and analytical decisions.

We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality. 

This is a full-time team member position, working in the office at our Pittsburgh, PA location.

Scope of Responsibilities

• Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
• Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
• Ability to work with taxonomy experts to create and validate dataset annotation
• Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
• Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
• Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code
• Keep up to date with Machine Learning best practices and evolving open-source frameworks
• Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
• Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers

• In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed models and solving problems in an ambiguous space. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy. 
• US Citizenship is Required

• Advanced degree, or bachelor’s with at least 5 years of experience, in Data Science, Machine Learning or a related field
• Minimum 5 years experience with hands-on development of NLP models
• In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
• Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
• Advanced software skills in Python
• Advanced ability in forming SQL queries
• A strong desire to learn, investigate and implement cutting-edge technologies
• Ability to work collaboratively throughout the design process.

• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Experience in deploying ML models in Kubernetes environments
• Experience developing custom training sets for large language models
• Experience productionizing transformer-based models

We firmly believe that past performance is the best indicator of future performance.  If you thrive in a fast-paced environment, have a bias toward action, and care about solving technical problems in the national security domain, we're eager to hear from you.

Govini is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Currently listed as DS, working on changing to CoCS3

Light CNO developer

Previous CNO tool dev experience

Former EA who can program

C, C++, Python

Capabilities

• Employ some combination (2 or more) of the following areas: (1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproductibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) )

• Devise strategies for extracting meaning and value from large datasets
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge

• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge

• Translate practical mission needs and analytic questions related to large datasets into technical
• requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence)
• College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

DS team supporting X324 - automating workflows, data manipulation and vizualization

Python and Jupyter Notebooks experience

Capabilities

• Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical), 2. Data Processing (Data management and curation, data description and visualization, workflow and reproductibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences
• Make informed recommendations regarding competing technical solutions by maintaining awareness of
• the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures,
• data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art. 

General Description: 

Help design and develop AI Engineering software and services applicable to the full AI Engineering lifecycle. Help build Machine Learning Operations (MLOps) environments, perform synthetic and real-world data collection/curation, and interface with other software engineers, scientists, and PI/PMs performing AI research and algorithm development.

Essential Duties:

Development of AI / Machine Learning software, tools, and services.

Required Skills: 

Python, C++, PyTorch, Tensorflow, and agile software development tools and techniques, self-hosted (on-premises) AI software services and supporting tools, e.g. Weights and Balances (wandb), Neptune, Optuna, MLFlow, GitLab CI/CD, GitLab runners, Docker/containerization, etc.

Familiarity with existing AI Software Engineering techniques, tools, and services. Experience with ML hyperparameter optimization, ML model repositories, data/object storage (e.g. S3 based data lakes, data warehouses, and lakehouses), and data versioning. Experience in developing reproducible ML pipelines is also desirable, i.e. automated ML workflows for data transformation (ETL/ELT), correlation, testing, evaluation, training, and deployment stages. Ability to develop and deploy services and applications in a hybrid cloud environment is beneficial.

Required Education: 

Existing student pursuing a Masters degree in Artificial Intelligence related field, e.g. Computer Science, Machine Learning, Software Engineering, Cognitive Science, Data Science, Statistics, etc.

Special Requirements:

Active security clearance or ability to obtain one is desirable. 

Compensation:

The pay range for this position $35 - $50 per hour.

Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific range during the hiring process. 

This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

For our privacy policy please visit : www.hrl.com/privacy

Eventually to be located at FBI HQ 3-4 days per week

Applying DS techniques to partner agency data with law enforcement authorities

Python, Java, C++ (and/or)

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms,

programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error,

inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data

mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is

strongly preferred.

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 3 years of relevant experience
• An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence) College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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. 

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.

Project Manager - Hybrid

Position Summary

The main focus of the role is on applying project management experience, organizational and analytical skills in the following areas: Contribute to the running of assigned internal initiatives to improve team efficiency and productivity; Assisting with documentation of processes; Training and mentoring others at request.

Responsibilities

• Plan and manage internal projects to agreed objectives 
• Manage allocated teams.
• Ensure close and regular communication with relevant stakeholders.
• Share knowledge and take initiative to improve processes as required.
• Where appropriate, design, document and implement processes.
• Train and mentor other team members as required
• Undertake other tasks and roles for the Company as required.

• Project Management experience.
• Experience driving initiatives and processes to improve efficiency and productivity.
• Agility in managing complex tasks and relationships
• Excellent organizational skills, analytical in nature with a curiosity towards solving complex problems, and strong attention to detail. 
• Excellent interpersonal and communication skills, both oral and written.             
• Professional attitude – comfortable working with cross functional and global teams.
• Ability to interpret complex policies, contractual agreements, and regulatory documents

• A relevant university degree with strong academic performance
• Experience in a project management role in a technology-oriented or services organization.
• 2 years’ experience in a client facing role.
• Experience managing teams and mentoring others.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Hybrid

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.

Appen’s Associate Project Manager is responsible for monitoring and driving key performance metrics for a group of independent contractors (ICs) doing search, social media and/or ecommerce evaluation, review, tagging and content annotation.  The APM works collaboratively with an Appen team to meet all project and client requirements.

Responsibilities

• Quality Management:
• Execute day-to-day quality process for all assigned programs
• Develop quality management plans to support a program end-to-end
• Drive quality improvements
• Take responsibility for delivering required performance metrics for assigned programs
• Analyze and evaluate statistical reports to proactively identify and improve individual IC and team results to improve client satisfaction
• Client Relationship Management:
• Become familiar with all aspects of managing client relationships
• Actively establish and grow client relationships, as assigned
• Adapt to changing client needs and expectations
• Virtual Team Management:
• Build and manage a virtual team of proficient ICs that meets or exceeds quality, throughput and productivity targets
• Participate in IC selection as needed
• Ensure ICs have access to required tools, guidelines and other related materials to meet project requirements
• Prepare and disseminate project materials based on IC and/or client feedback to clarify guidelines
• Solicit and use input and feedback from client, Appen managers and ICs to help drive efficiencies and improve quality plans
• Provide regular reporting on project status, as well as more in-depth analysis
• Guideline & Training Support:
• Develop program guidelines and training material as well as annotate data for new or existing programs
• Participate in program improvements, initiatives, and committee work as assigned
• Support the training and mentoring of new and existing Appen staff, as assigned
• Reporting and Communication:
• Communicate service level expectations and directions to all ICs. May be asked to establish quality requirements
• Provide up-to-date information that helps Appen staff and ICs anticipate and solve problems.
• Proactively provide on-the-spot positive and constructive feedback to ICs regarding metrics-driven performance issues
• Under manager guidance, communicate directly with client, using proper escalation procedures for both production-related questions and technical issues
• Communicate, with all stakeholders, in a timely, clear and concise manner
• Participate in regular team meetings with program staff
• Where necessary, complete additional tasks as assigned.

• Driven to focus on quality and service delivery
• Motivated self-starter who can establish a course of action for self and others and drive initiatives to completion
• Flexible, independent, self-motivated; able to deal calmly and professionally with ambiguous data while leading in an environment of constant change
• Excellent communication skills including an ability to present information clearly and concisely in writing or verbally.  Must also be an attentive and careful listener and respond appropriately to others 
• Demonstrated time management and organizational skills with attention to details.
• Excellent analytical skills including ability to proactively identify problems, gather information and set course of action
• Demonstrated understanding and appreciation for a global marketplace and workforce
• Innovative thinker who drives the development and implementation of new idea
• BS or BA degree from an accredited university or equivalent work experience preferred
• Minimum 1-2 year of quality management experience in a metric -driven setting working in a production, operation, or call center environment is desired
• Advanced Excel skills required
• Experience managing and prioritizing large volumes of email correspondence
• Experience with a Windows operating system and Office suite of products
• Proficient in English. Excellent oral and written communication skills

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.

Linguist

Position Summary

The main responsibility of a Linguist is to manage projects for Appen’s clients. The Linguist applies their knowledge of linguistic phenomena, technical skills and attention to detail to manage projects to quality expectations, timelines, and budget. The Linguist applies their communication skills to manage stakeholder relationships and teams of language specialists around the world. 

Responsibilities:

• Autonomously plan and manage projects to quality, time and budget to ensure effective project execution and delivery
• Onboard and train a virtual team of consultants to create, evaluate or annotate linguistic data in multiple languages
• Prepare guidelines, training materials and tools, aligned to client specifications.
• Oversee the work of consultants, including task assignment, scheduling and monitoring
• Ensure close and regular communication with all internal project stakeholders.
• Share knowledge and take initiative to improve processes
• Document and manage language resources arising from projects
• Manage client relationships through customer service and regular reporting (as required)
• Provide operational input to the Sales team (as required)

• Highly proficient in one or more of the following languages: Hindi, Malayalam, Kannada, Bengali, Tamil, Marathi, Urdu
• Linguistic knowledge of Indian languages

• Bachelor’s degree (minimum) or above in linguistics or a related field
• Ability to independently prepare linguistic data for delivery to a customer
• Solid understanding of linguistic concepts and terminology
• Strong technical and data management skills
• Demonstrated ability to work effectively in an environment characterized by constant change, and a fast, deadline­-driven culture

#LI-Remote

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. 

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).

As a VFX Producer you will be charged with partnering with our VFX and Post Production team, managing our vendors, budgets, scheduling support organizing and managing bids to studios, and ensuring our projects and deadlines are operating properly and met with excellence.

***This will start as a freelance position with an opportunity to support future projects as time progresses.***

Qualifications

• Work with VFX Supervisor
• Planning budgeting, crewing Bidding out jobs
• Handle outsource bidding
• Work with VFX Vendors
• Scheduling and budgeting VFX
• Ensure project stays on schedule and budget
• Communicating timelines to the VFX SUPERVISOR and the VFX team
• Working with VFX co-ordinator
• Working with I/O department
• Helping setup reviews and take notes as necessary

• Experienced working with outsource vendors internationally
• Experienced in high end VFX for feature film and episodic
• Attention to detail
• Calm under pressure
• Advanced Shotgrid skills
• Skilled with Excel for budgeting and scheduling
• Great communication skills
• Must be located in Los Angeles and work in the Santa Monica office

Leading the future in luxury electric and mobility

At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Location: Newark (Onsite position in Newark, CA)

Intro to Lucid 

You will play one of the leading roles in the implementation of core enterprise systems for Lucid, including cross-functional business processes, coordination of core business data, and delivery of business enabling solutions.  You will bridge the technical and functional worlds while engaging with broad functional teams, including Supply Chain, Purchasing, Logistics, Manufacturing, Finance, HR, and Engineering. To be successful in this role, you will need to establish strong partnerships and have a hands-on approach to managing data and business processes from the ground up. As a result, you will gain a comprehensive understanding of the EV manufacturing processes and enterprise management systems. Other things you should know about this position are:

·       You will be part of the evolution of a game changing electric vehicle manufacturer.

·       You will be a peer with some of the brightest people with working experience in the greatest companies of our time: Tesla, BMW, Ford, Apple, Amazon, and more.

·       You will be prepared for a career in cutting edge business fields like cloud ERP, data science, design for manufacturing, and strategic sourcing. 

Responsibilities:

• Have strong SAP technical and architectural experience for providing design and development guidance for key projects.
• Manage development teams onsite and offshore, develop coding standards and perform regular code reviews.
• Ensure the team follows Company’s defined development processes and standards.
• Work with and proactively monitor the development activities of Lucid’s implementation partners, ensuring their deliverables and processes are aligned with Lucid’s standards and policies.
• Lead technical integration efforts for SAP products such as S4 HANA, Fiori, SAP PO, etc.; partner with functional and technical and operational teams to recommend preferred solutions.

• Work closely with the Business Analysts in all modules of SAP.
• Expertise in RFUI, Neptune and other handheld applications is desirable.
• Leads the SAP application development and ensure team is delivering good quality of work and on time delivery.
• Be the point of contact with other teams like functional, support, architecture, compliance, and testing teams.

• Bachelor’s degree in computer science from an accredited university.
• 10+ years’ experience of total SAP development ABAP
• 10+ years SAP development experience in reports, interfaces, conversions, enhancements, forms, and Fiori is a must. In addition, the candidate must demonstrate expert-level skills in SAP ABAP development.
• 10+ years with SAP S/4 HANA, Fiori, and SAP PO development. Experience in SAP BTP is preferable.
• 5+ years of experience in leading global teams and must have at least three full life cycles of SAP implementation experience.

• Candidate must be well organized and capable of managing numerous priorities in parallel.
• Must have strong management, communication, planning, and administrative skills; the candidate should have strong team player qualities and be a strong self-starter who can deliver consistently at a high quality.
• Must have experience in technical project management.

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.

·       California (Bay Area) - $138,000 - $198,000

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

Lucid maintains your privacy according to its Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Notice regarding COVID-19 protocols  

At Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus all new Lucid employees, whose job will be based in the United States may or may not be required to provide original documentation confirming status as having received the prescribed inoculation (doses). Vaccination requirements are dependent upon location and position, please refer to the job description for more details.

Individuals in positions requiring vaccinations may seek a medical and/or religious exemption from this requirement and may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. 

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.

PMO is a leadership position accountable for the successful delivery of a portfolio of work to a client (s) or a set of internal initiatives. He/she owns a set of client projects and programs and portfolios and is responsible for successful delivery of a portfolio of work to a client(s), delivering contract obligations of the highest quality in the most efficient time. He/she partners relevant people Managers in mentoring people to meet client needs. He/she represents the portfolio interests liaising with other Departments. He/she partners and developing processes, frameworks and practices to maximise delivery efficiencies.

Responsibilities

• Project Management - Ensure successful delivery of a portfolio of work to a client(s).
• Provide and sign off on quotations of time, cost and recommended methodology to the Sales teams as part of the bid process
• Lead scoping of work and finalisation of specifications and requirements in partnership with Specialists for execution by Project Managers
• Manage and lead teams to project requirements. Ensure portfolio of projects are delivered on schedule, on budget and to quality requirements, utilizing best practice. Meet and exceed project budgets.
• Effective management of risks and issues. Pro-actively manage and escalate issues to mitigate against quality, budget and timeline slippage.
• Represent client project(s) portfolio interests to various Deparments to ensure that project priorities are aligned with the priorities of the portfolio
• Work with Sales, Specialists and other Departments to analyse novel project requirements and ensure readiness to deliver.
• Monitor and control margins, carry out P&L variance analysis, implement improvement strategies and participate in pricing strategies.
• Drive project management and delivery excellence and streamline efforts while introducing ideas for innovation and improvement into systems and processes:
• Work with Sales teams and PMO to define effective model of engagement between Sales and Client Services, including involvement in quoting stage, project hand-over and post-project feedback loop.
• Drive strategic needs of the portfolio. Own processes relevant to the portfolio; lead/participate in process documentation. Supports development of framework to support client.
• Continuously drive process improvement and innovation with measurable results.
• Monitor projects for compliance and provide regular feedback (individually and collectively)
• Provide inputs towards the improvement of Appen’s internal suite of tools.
• Provide excellent customer service across portfolio:
• Respond to and appropriately prioritize client requests and project delivery requirements as they arise. Address client requests and feedback with appropriate urgency and escalation
• Maintain and improve client satisfaction across portfolio. Manage reporting needs to client
• Complete periodic needs analysis and proactively listen for clients’ pain points and dissatisfaction. Drive appropriate resolutions.
• Ownership of the client relationship for assigned projects in partnerhsip with Sales and Delivery, where relevant.
• Stakeholder Management
• Communicate and report regularly to senior management on project status, highlighting risks, dependencies and mitigating actions being taken
• Serve as an escalation point and effectively escalate actions as required.
• Interact with a wide range of personalities; this includes building relationships with third party vendors externally and providing leadership internally across functional lines and business units.
•  

• A relevant university degree with strong academic performance
• Over 5 years experience in a project management role in a technology-oriented or services organization.
• 5 years experience in a client facing role.
• Experience managing teams and mentoring others.

• Good analytical skill and problem solving ability. Accountable and results-driven.
• Demonstrated experience creating productive, cooperative relationships and conflict resolution skills. 
• Strong communications skills, both written and oral.  Displays a high level of professionalism by setting appropriate examples in meetings and interactions with peers and team members.
• Commercial orientation and sound commercial judgement. Able to lead process improvement and innovation
• Track record of building and developing effective teams that deliver to customer requirements. Effectively coaches, mentors and trains peers and team members.
• Outstanding client service skills. Solid stakeholder management with demonstrated ability to influence people and facilitate outcomes

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. 

This Data Scientist position is part of the TechSIGINT Revitilazation effort and requires compiling various data sources via computer scripting, statistical analysis, data modeling, etc. This position is forward deployed working with CNO. Additionally, an individual should be familiar on aspects of signals collection, to include ELINT and PROFORMA data/collection.

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience.
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position

• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence)
• College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

This role demands close collaboration with Business, Product and the Data Science team in driving critical experiments, analyzing product and business strategies for impact, in building simple predictive models and laying the foundation for product and business roadmap for the coming half.

What will you do

• Analyse data and derive insights using various statistical techniques and data visualization libraries  to answer business critical questions
• Partner with Product and Business teams to help make decisions based on these insights.
• Identify Product and business opportunities and support to help in creating pilot settings through experimentation  using best practices. 
• Build and maintain dashboards and other self-serve tools for tracking business performance and product adoption. 
• Build first cut machine learning models (good to have)
• Automate data extraction to create denormalized tables.

• 3-6 years experience in business statistics and product analytics.
• Strong business sense and data driven-ness. 
• Expert in SQL & Python with strong experience in data visualization and dashboarding tools.
• Basic expertise in building machine learning models and taking them to deployment.
• Building products as end to end data solutions (from extracting data, to analysis, data pipeline set up and scalable deployment)
• Ability to disambiguate loosely-defined business and product problems and create a roadmap for analysis and experimentation.

This is one of the most exciting teams to be part of; that drives some extremely critical solutions for the success of the organization. If you’re data driven, and love to be among like minded; highly tech-savvy people, and collaborate without boundaries - with folks from product, business, other analysts, data scientists and engineers - then look no further. In this team, you will instrumental in helping all these stakeholders in making data driven decisions, in creating the most impactful business strategies and product features that directly impact  hundreds of thousands of our merchant partners and millions of GoFood customers

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek 

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

Based in Southern California with locations in Malibu, Calabasas and Camarillo; HRL has been on the leading edge of technology, conducting pioneering research and advancing the state of the art. 

Essential Duties:

Primary job function is the study and development of machine learning models for autonomous system tasks (computer vision, automated reasoning, etc.). 

Concretely, this will involve the development of new software systems and the integration of research software on autonomous systems platforms.  

The ideal candidate will have hands-on experience in one of computer vision, natural language processing, adversarial machine learning, or reinforcement learning.

Tasks will include the development, implementation, training, evaluation and of algorithms for control, planning and perception on autonomous systems platforms.

Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.

Required Skills:

Experience with machine learning for computer vision, natural language processing, adversarial machine learning, or reinforcement learning. 

Software development experience in Python. General experience working with computer systems and software development.  

Experience using libraries/frameworks such as Jax, PyTorch, TensorFlow, or similar.  Experience writing research papers and presenting research work to both expert and non-expert audiences.

Required Education:

Ph.D. or M.S. in Computer Science, EE or related fields.

Compensation:

The base salary range for this full-time position is $104,000 - $174,000 + bonus + benefits.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed reflect the base salary only, and do not include potential bonus or benefits.

This position must meet Export Control compliance requirements, therefore a "U.S. Person" as defined by 22 C.F.R. § 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee.

HRL offers a very competitive compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, growth potential, and an exciting and challenging work environment.

HRL Laboratories is an Equal Employment Opportunity employer and does not discriminate in recruiting, hiring, training or promoting, on the basis of race, ethnicity, color, creed, religion, sex, sexual orientation, gender, gender identity, genetic information, national origin, physical or mental disability, pregnancy, medical condition, age, U.S. military or protected veteran status, union membership, or political affiliation. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

For our privacy policy please visit : www.hrl.com/privacy

About the Job & Shakudo

At Shakudo, we are revolutionizing the way data-driven organizations develop, scale, deploy, and maintain their data stack. We offer a comprehensive end-to-end data platform, integrating top-tier open-source tools into fully managed components, reducing operational overhead and costs for our clients.

We are looking for a talented Machine Learning Engineer (Product Evangelist) with a passion for product evangelism to join our team. In this highly technical role, you will work closely with existing and potential customers' data and AI teams to ensure their success when building data and AI solutions on Shakudo. You will also be responsible for customizing open-source components on Kubernetes, creating tutorials, demos and documentation to educate and onboard users onto the new components. You will engage the right audience on social media, and present at conferences and events to amplify the Shakudo brand and educate the world of data science about the amazing technologies in the space.

Responsibilities:

• Work with customers to ensure the successful outcomes of their projects that leverage data stack components on Shakudo
• Master new data and AI technologies as they emerge and get integrated into Shakudo, and be the customer facing expert on such tools
• Create and maintain technical demos, documentation, tutorials to educate and engage our user community
• Collaborate with product management and engineering teams to relay customer feature requests and feedback into the product roadmap
• Stay up-to-date with SOTA, industry trends and developments in data and machine learning
• Provide technical support to the sales team, ensuring smooth onboarding of new customers
• Work closely with customer success teams to ensure customer satisfaction and address any technical issues
• Develop strong relationships with customers and become their trusted technical advisor
• Write engaging blog posts and social media content to promote our platform and foster engagement with the right audience
• Present at conferences, webinars, and other events to showcase our platform and drive awareness

• Master's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in data engineering, machine learning, deep learning, distributed computing and cloud infrastructure
• Strong problem-solving skills and ability to adapt to new technologies quickly
• 1+ years of experience with as many data and AI tools as possible. Examples includ DBT, Apache Spark, Airflow, Dagster, Trino, PyTorch, Tensorflow, Huggingface and LangChain.
• Excellent communication, presentation, and relationship-building skills
• Experience with documentation and content creation for technical audiences
• Ability to work independently and as part of a team

Shakudo is an equal opportunity employer and encourages candidates of all backgrounds to apply. We foster diversity and inclusivity and welcome applications from a broad range of backgrounds and experiences.

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.

Are you intrigued by the world of eyes? Here's an exciting opportunity to join Project Eyeris, a sponsored in-person study taking place in Aston, Birmingham, from July 26th to August 30th.

We are looking for enthusiastic individuals to participate in this fascinating study on the intricacies of eyes. Your contribution will play a vital role in advancing research.

Responsibilities:

- Attend a one-time on-site session at our venue in Aston, Birmingham.

- Undergo non-medical and non-invasive eye scans and have images of your eyes taken while performing simple actions such as blinking, concealing eyes, looking off-center, taking a selfie, etc., under various lighting conditions.

- Your participation will take approximately 30-60 minutes.

How to Apply:

Spaces for this study are limited, so seize the opportunity to be a part of Project Eyeris. To apply, click on the link for the Eyeris In-Person Study: Eyeris In-Person Study : Get Paid £55

If you have any minors interested in participating with you, a Minor form link will be provided after submitting your application.

Spread the Word:

Know someone who might be interested in this unique study? Feel free to share the application link with them, so they can apply and potentially be part of Project Eyeris too!

Join us in unlocking the mysteries of eyes and contributing to cutting-edge research! We eagerly await your participation in our study.

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. 

Preamble: At Gojek, we are revolutionizing the way people experience everyday services through our super app platform. The consumer incentives team is excited to invite talented and passionate Data Scientists to join us in our mission to provide efficient and impactful incentives to our customers. This role offers a unique opportunity to contribute to Gojek's success by leveraging your expertise in Python coding and data science, while collaborating closely with stakeholders from the transport, food, and logistics domains. If you are a proactive problem-solver with excellent communication skills and a passion for driving business goals through data-driven decision making, we would love to have you on our team!

Background: The Consumer Incentives Team plays a crucial role in Gojek's success by designing and implementing a full stack machine learning pipeline. This pipeline enables us to optimize and distribute incentives to our customers in a targeted and efficient manner, driving user engagement and achieving business objectives. As a Data Scientist in this team, you will work closely with stakeholders from the transport, food, and logistics domains, ensuring effective communication of technical concepts to non-technical partners. Your expertise and insights will shape our incentive strategies, enabling Gojek to stay ahead in a competitive market and deliver exceptional experiences to our customers.

What will you do

• Develop and deploy machine learning models to optimize incentive distribution for Gojek's consumer base.
• Collaborate closely with stakeholders from transport, food, and logistics domains to understand business requirements and translate them into actionable data science solutions.
• Analyze large-scale datasets (>100m rows) to extract actionable insights and drive decision-making processes.
• Build data pipelines and perform feature engineering to enhance model performance and accuracy.
• Communicate complex technical concepts and data-driven insights to non-technical stakeholders, enabling them to make informed business decisions.
• Monitor and evaluate model performance, identifying areas for improvement and proposing solutions.
• Stay updated with the latest advancements in data science and machine learning techniques, bringing innovative ideas to the team.

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek 

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.

About the Role

We are looking for a data scientist intern to join our Data Science team at GoPay - you will create models which help grow the customer base and transactions in GoPay. You will work closely with the business, product and engineering stakeholders to identify and solve some of the most challenging business problems in the payments space. You will have the opportunity to work in a fast-paced environment in a highly cross-functional team and leverage our robust data infrastructure

What You Will Do

• Work as part of a cross-functional team of engineers, product managers and business analysts  to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions
• Rapidly prototype data science solutions and be involved in product and feature discussions
• Analyze large volume data and generate insights which will be actionable
• Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
• Participate in internal and external conferences and workshops

• Fresh Graduates from Computer Science major
• Strong quantitative and problem-solving skills
• Solid understanding of Statistics/ML fundamentals and demonstrated experience in Python, R
• Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
• Ability to write clear and concise technical documentation
• Experience in recommender system, ranking, multi-armed bandits, search and discovery is a plus

About the Team

GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and bring with them a wide set of skills (mathematics, statistics, machine learning, deep learning etc) which we use some of the toughest business problems in GoPay. We are enthusiastic about both data science techniques and methods, as well as the business impact of our models, and have numerous internal forums where sharing, discussions and presentations by the team members happen.

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek 

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

About Tokopedia  

Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.