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At Interaxon, we develop engaging experiences using brain sensing technology. We are a passionate team of researchers, technical experts and scientists building the world’s leading science-based brain platform to empower personal transformation through human-centred innovation. Our Muse 2 and Muse S headbands are designed to make meditation and sleep easier and provide real-time audio and visual feedback on your meditative and sleep state through the Muse companion app.

As a Biosignal Research Scientist at Interaxon, you’ll help us extract insights from brain and biosignal data at large scale and build meaningful experiences based on these insights. You are a skilled scientist or engineer , passionate about neurotechnology, eager to have a positive impact on people's lives through technology, and who has exceptional strength in signal processing, machine learning and biosignal analysis.

What you’ll do:

• Develop offline and real-time algorithms for processing EEG, PPG and other biosignals.
• Develop and implement biosignal-based applications.
• Run cloud studies on our large-scale EEG and biosignal database.
• Contribute to the development of internal research tools.
• Report and present research results internally and in scientific venues.
• Follow the relevant scientific literature to propose new approaches for analyzing and modeling EEG and biosignal data.

• Masters and/or PhD. in Biomedical Engineering or any related field including computer science, engineering, mathematics or neuroscience.
• Strong experience with Python for time series analysis, time frequency analysis, algorithm development and machine learning.
• Experience creating algorithms and tools for EEG, PPG or other biosignal analysis.
• Practical experience and theoretical understanding of machine learning, including deep learning.
• Track record of publications in relevant scientific journals and/or conferences. 
• Detail-oriented and enthusiastic with good communication skills and a great work ethic.
• Creative problem solver and solution developer when presented with conflicting requirements, business demands and technical risks.

• Knowledge of neuroscience.
• Experience with TensorFlow and/or other deep learning frameworks.
• Comfortable with Git and software development tools.
• Experience with SQL.

What we offer:

Our collaborative culture is an extension of our vision to empower personal transformation to improve lives and change the world. We have a flexible working environment, on-going work from home options, a great benefits package, weekly team meditations, and a commitment to keeping connected while working apart. Join a team passionate about making a difference.

Interaxon is a company fueled on innovation and inclusion.  We believe that diversity is an essential part of our workplace culture, and we continue to grow our team through equal opportunity and barrier-free recruitment. Additionally, if you require any accommodations during the selection process, please let us know!

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Please Note: We have offices in Toronto, Palo Alto and London but embrace being remote-first! We are looking for candidates based in Toronto for this role.

As a Sales Development Representative a typical day might include:

- Contact and qualify prospects through cold calls, emails, and meetings, with the goal of booking demos for the Account Executives

- Developing strategies to maximize your success and collaborate with Account Executives, Marketing, Product, and Partnerships

- Getting to know the product, CRM, sales pipeline and understanding the qualification & sales process

- Collaborate with the Sales and Marketing teams on outbound account-specific email campaigns to drive pipeline

- Be comfortable taking introductory customer calls and providing company overview

You may be a good fit if:

- You have 2+ years experience in a similar role or at a SaaS company

- You are highly motivated and love to engage with new prospects

- You have a high tolerance for ambiguity and working in a dynamic environment

- You are passionate about NLP technology and becoming an expert in the space

- You are collaborative: you naturally share ideas and never lose sight that you are part of a team

- You enjoy making connections and starting conversations with new people (and are OK with the rejection that naturally comes with the role)

- You are a positive person, with the ability to shine under pressure

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We've recently raised our Series C, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

As a Senior Product Designer, you will:

• Take ownership of designing an intuitive and uncharted user experience in language AI. You’ll own strategic design decisions to achieve user and business outcomes by pioneering everything from features to entire platforms. 
• Be a strong advocate for our users not just through your visual deliverables but also through the processes in which you make product decisions in cross-functional team collaborations.
• Produce high-quality work and prototypes using Figma and other tools such as Adobe and C4D.
• Work closely with Product, Engineering, GTM, and Modelling to implement new features for both B2C and B2B customers.
• Contribute to design leadership decisions such as roadmaps and the future direction of Cohere’s offerings on a regular cadence.

• You have at least 5+ years of product design experience, and a track record of shipping products from zero to one. Bonus: you’ve worked on technical, creative, or enterprise tools.
• You're a strategist equipped with a versatile design process to get you from any problem to high-fidelity designs (rapid prototyping, stakeholder interviews, a metrics dive—whatever will get you there!)
• You’ve taken full ownership of a suite of features or a full product, leading its scope, research, and designs.
• You're committed to building and facilitating relationships with non-designers to execute your vision of the best user experience.
• You possess a breadth of design skills which makes you proficient in doing both product and visual work in a fast-paced, dynamic environment.
• You have a great instinct for visual design and therefore sweat the small details: from typography, colour, and layout, to animation.
• You're a clear communicator and are not afraid to take sides or challenge the ideas of your teammates (and vice versa).

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work closely with a team on the cutting edge of AI research 

🍽 Free daily lunch 

🦷 Full health and dental benefits, including a separate budget to take care of your mental health 

🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend

✈️ 6 weeks of vacation

#LI-Remote

“Make every logistics journey your best one yet”

The Company.

Founded in 2014, Quincus is a B2B supply chain operating SaaS platform headquartered in Singapore. We solve today's global supply chain challenges with groundbreaking technology. Using AI and machine learning, we have digitized and optimized the logistics process while giving customers full transparency into their supply chain. 

Quincus was founded by two visionary entrepreneurs who possess more than a decade of experience in tech. Chief Product Officer Katherina-Olivia Lacey is leading a tech revolution in this space while empowering women in the supply chain industry. Jonathan E. Savoir, Chief Executive Officer, appeared on Forbes' 30 Under 30 Asia List in 2020, and also serves on the boards of several startups.  

Overview.

Quincus Research is building the next generation of intelligent systems for all Quincus products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Quincus Research teams collaborate closely with other teams across Quincus, maintaining the flexibility and versatility required to adapt new projects and focuses that meet the demands of the world's fast-paced business needs. 

Job Overview. 

We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a machine learning engineer, you will be responsible for designing and implementing scalable systems for serving models, optimizing inference performance, and managing production workflows. 

Responsibilities: 

- Design and implement scalable systems for serving deep learning and reinforcement learning models.

- Optimize inference performance of deep learning and reinforcement learning models using techniques such as quantization, pruning, and distillation.

- Utilize GPU computing to accelerate model training and inference.

- Develop and deploy production workflows for training and serving machine learning models.

- Collaborate with data scientists and software engineers to design and implement machine learning systems.

- Monitor and improve the performance of machine learning models in production.

- Stay up-to-date with the latest research and techniques in deep learning and reinforcement learning. 

Qualifications:

- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

- 3+ years of experience in software engineering or machine learning engineering.

- Strong programming skills in Python (C++ or Java a plus)

- Experience with deep learning frameworks such as TensorFlow or PyTorch.

- Experience with GPU programming using CUDA, OpenCL, or similar libraries.

- Experience with distributed systems and cloud computing platforms such as Kubernetes, Docker, GCP, and AWS. 

Preferred Qualifications: 

- Ph.D. in Computer Science, Electrical Engineering, or a related field.

- 5+ years of experience in software engineering or machine learning engineering.

- Experience with reinforcement learning algorithms and frameworks.

- Experience with production deployment of machine learning models and implementation of APIs for big data.

- Strong understanding of computer architecture and performance optimization.

- Strong communication and collaboration skills. 

If you are passionate about developing and deploying machine learning algorithms at scale, and want to join a dynamic team working on cutting-edge technology, we encourage you to apply for this position.

EvenUp is a venture-backed generative AI startup that ensures injury victims are awarded the full value of their claims, expanding the $100B+ in awards granted to injury victims every year. Every year, the legal system has made it difficult for millions of ordinary people to seek justice, especially for folks without means or who come from underrepresented backgrounds. Our vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or the quality of their legal representation.

EvenUp operates across all types of injury cases, from police brutality and child abuse to California wildfires and motor vehicle accidents. Our ML-driven software empowers attorneys to accurately assess the value of these cases by doing a core part of their workflow (legal drafting), enabling them to secure larger settlements in record time. As EvenUp evaluates more cases, our proprietary data grows, enhancing the precision of our predictions and delivering more value to both attorneys and victims alike.

As one of the fastest growing startups ($0 to $10M in ARR in <2 years), we raised $65M in investment from some of the best investors in the world (Bessemer, Bain Capital, Signalfire, DCM, NFX, Tribe Capital), seasoned tech executives (i.e. founder of Quora, SVP at Google, former CPO at Uber), and public figures that care about our social mission (Nas, Jared Leto, Byron Jones). Our team comes from top tech, legal, and investing backgrounds including Waymo, Google, Amazon, Uber, Quora, Blizzard, Norton Rose, Warburg Pincus, Bain, and McKinsey.

Why we're hiring a Product Manager now:

In the past year, our engineering and data science team grew from 1 to ~20 and we rolled out infrastructure updates, new products, and updates to existing workflows - combining data, ML frontend, and backend work. 2023 is an exciting year for us; we expect the technical team to expand to 30+ as we deliver on a roadmap to handle 10x our current volume. As a senior product manager (and our 2nd product hire) you will impact critical product decisions across all aspects of EvenUp, from leveraging the latest and greatest in Generative AI to good-old B2b SaaS!

As a Product Manager at EvenUp:

• You want to build a first-of-a-kind product to improve the lives of millions of injury victims that got their lives turned upside down at no fault of their own
• You are a system thinker and can visualize processes in front of your inner eye as well as digitally for others
• You are an owner and think of your product as your product
• You can ask hard and good questions to probe for your users’ needs
• You are an advocate of many, ranging from internal teams, b2b customers, to consumers
• You know what it takes to build software and can estimate engineering complexity
• You dance with and clear up ambiguity since the goal isn’t always clear, but you’ll help bring clarity
• You are a great story-teller that can weave a narrative that puts your ideas into the context of real life, whether it’s through words, pictures, or interactive prototypes
• You want to surround yourself with smart people across a wide breadth of disciplines of technology, machine learning, law, and finance
• You have done this before with around 3+ years experience as a Product Manager

Benefits & Perks:

We seek to empower all of our team members to fulfill our mission of making the world a more just place, regardless of our team’s function, geography, or experience level. To that end, we offer:

- Fully remote setup - work from wherever you feel is best (Plus a stipend to upgrade your home office!)

- Flexible working hours to match your style

- Offsites - get to meet your coworkers on a fully-expensed trip every 6-12 months!

- Choice of great medical, dental, and vision insurance plan options

- Flexible paid time off

- A variety of virtual team events such as game nights & happy hours

EvenUp is an equal-opportunity employer. We are committed to diversity and inclusion in 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.

EvenUp is a venture-backed generative AI startup that ensures injury victims are awarded the full value of their claims, expanding the $100B+ in awards granted to injury victims every year. Every year, the legal system has made it difficult for millions of ordinary people to seek justice, especially for folks without means or who come from underrepresented backgrounds. Our vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or the quality of their legal representation.

EvenUp operates across all types of injury cases, from police brutality and child abuse to California wildfires and motor vehicle accidents. Our ML-driven software empowers attorneys to accurately assess the value of these cases by doing a core part of their workflow (legal drafting), enabling them to secure larger settlements in record time. As EvenUp evaluates more cases, our proprietary data grows, enhancing the precision of our predictions and delivering more value to both attorneys and victims alike.

As one of the fastest growing startups ($0 to $10M in ARR in <2 years), we raised $65M in investment from some of the best investors in the world (Bessemer, Bain Capital, Signalfire, DCM, NFX, Tribe Capital), seasoned tech executives (i.e. founder of Quora, SVP at Google, former CPO at Uber), and public figures that care about our social mission (Nas, Jared Leto, Byron Jones). Our team comes from top tech, legal, and investing backgrounds including Waymo, Google, Amazon, Uber, Quora, Blizzard, Norton Rose, Warburg Pincus, Bain, and McKinsey.

Why we're hiring machine learning engineers:

In the past year, our engineering and data science team grew from <10 to ~30 and we rolled out infrastructure updates, new products, and updates to existing workflows - combining data, ML frontend and backend work. The next 12 months are very exciting for us; we expect the technical team to triple to 80+ as we deliver on a roadmap to handle 10x our current volume. Now is the time to get on the ground floor as we scale!

We are looking for machine learning engineers who are passionate about building production machine learning products with a world-class team headed up by Matyas (lead early and foundational teams at Quora and Uber). You will have immense opportunities to work on a broad range of business/technical problems and technologies, build machine learning models, and design/automate/deploy production machine learning pipelines. We share a passion for problem-solving, new technologies, and learning, so you will be highly encouraged to explore new technologies and develop innovative solutions that could take the team's machine-learning engineering capability to the next level.

What you'll do:

• You will build and deploy machine learning models in production that tangibly impact the lives of our customers
• You will be responsible for technical roadmaps and will collaborate with Product Management, Product Engineering, and Design to shape the overall product roadmap
• You will be a strategic partner for leaders across the organization on driving business impact through machine learning
• You will coach and mentor the next generation of strong engineers on the team

• Experience building machine learning systems deployed to production
• Industry or research experience in NLP, information retrieval, or entity resolution
• Ability to communicate technical ideas or issues in easy-to-understand and actionable terms
• Ability to translate theory and new ideas into practical shippable solutions

• Thrive on data-driven development, always looking for ways to analyze and improve with data
• Can develop methods and algorithms from first principles where necessary as opposed to relying fully on packaged third-party solutions
• Learn quickly and are seeking opportunities to work cross-functionally and with a diverse group of people
• Are looking for new challenges to take your craft to the next level

Benefits & Perks:

We seek to empower all of our team members to fulfill our mission of making the world a more just place, regardless of our team’s function, geography, or experience level. To that end, we offer:

- Fully remote setup - work from wherever you feel is best (Plus a stipend to upgrade your home office!)

- Flexible working hours to match your style

- Offsites - get to meet your coworkers on a fully-expensed trip every 6-12 months!

- Choice of great medical, dental, and vision insurance plan options

- Flexible paid time off

- A variety of virtual team events such as game nights & happy hours

EvenUp is an equal-opportunity employer. We are committed to diversity and inclusion in 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.

A named leader by Forrester in the sales performance management space, Varicent was founded in 2005 when we pioneered sales performance management software. Evolving quickly to become the fastest growing software company in North America according to Deloitte’s Fast 50™ in 2010, Varicent was acquired by IBM in 2012 and has since been re-founded as an independent global business serving mid-size and enterprise clients with our full suite of solutions to assist in smarter territory and quota planning, efficient lead to revenue operations, and the fastest and most flexible way to pay sellers accurately and on-time. We are looking for talented, driven people that can make an impact across our organization.

We are seeking an experienced and visionary Solutions Consultant specializing in leveraging generative AI to revolutionize business operations and drive scalable growth. You will play a critical role in leading and executing projects that harness the power of artificial intelligence to enhance current workstreams, optimize processes, and uncover innovative solutions. You will collaborate closely with cross-functional teams, including engineers, and business stakeholders, to implement generative AI strategies that drive operational efficiency, scalability, and business success. You will also be responsible for single-handedly constructing automated processes and delivering solutions. 

If you are a forward-thinking and results-driven individual, with a passion for building solutions leveraging generative AI to transform business operations, we invite you to join our team. Help us unlock the full potential of generative AI to drive scalability, innovation, and creative problem-solving within our organization.

What you will do:

• Collaborate with stakeholders across the business to identify business challenges and opportunities where generative AI can provide unique and creative solutions.
• Drive the development and execution of generative AI solutions, working closely, often hands on, with business and technical teams to develop and deploy.
• Build automation to optimize business processes and data flow. Leverage middleware platforms to connect systems. Comfortable using no code tools. Coding ability a plus.
• Manage projects from conception to deployment. Define project scopes, create timelines, and monitor progress to ensure timely delivery. Coordinate with stakeholders to address any project-related challenges or issues.
• Ensure ongoing maintenance and successful delivery of running programs, executing day-to-day tasks and providing necessary support for program operations.
• Maintain thorough documentation and track the progress of all program activities and deliverables.
• Evaluate the impact of generative AI initiatives on business operations, measure performance metrics, and provide insights to drive continuous improvement and optimization.

• 1-3 Months:
• Stakeholder Collaboration and Opportunity Identification: Collaborate effectively with stakeholders across various business functions to identify at least three key challenges or opportunities where generative AI can deliver unique and impactful solutions. Gather detailed requirements.  
• Initiate AI Solution Development and Achieve Quick Win: Begin the hands-on development and execution of generative AI solutions for the identified opportunities, working closely with business and technical teams. Successfully implement at least one solution.
• AI Awareness and Adoption: Partner with the team to lead at least one knowledge sharing session or workshop designed to educate team members about the capabilities and benefits of AI, thereby fostering a culture of learning and AI adoption within the organization. 
• Framework Establishment: Establish effective communication channels, policies, and a general framework for the use and management of Generative AI within Varicent in partnership with the team.  
• Technology Assessment and Recommendations: In partnership with the team, conduct a comprehensive assessment of the current state of technology in use at Varicent. Based on this assessment and an understanding of current trends and best practices in AI technology, provide informed recommendations on additional or alternative technologies to consider for future implementation.

• 4-6 Months:
• Stakeholder Engagement and Solution Refinement: Continuously engage with stakeholders to refine and further develop the identified generative AI solutions based on feedback and initial outcomes. Identify three more key challenges or opportunities where AI can provide solutions and scope them in detail. 
• AI Solution Development and Impact Demonstration: Continue the development and execution of generative AI solutions, ensuring at least two more solutions are successfully implemented. These quick wins should provide tangible evidence of the positive impact of AI solutions on business processes and outcomes. 
• AI Adoption and Capacity Building: In partnership with the team, Facilitate additional knowledge-sharing sessions or workshops to build on the initial AI awareness campaign, focusing on upskilling team members in AI capabilities and practical applications. Aim to establish a strong foundation of AI understanding and proficiency within the organization. 
• Framework Refinement and Policy Development: In partnership with the team, refine and update the established framework based on learnings from the first three months. Develop comprehensive policies that will guide the use, management, and ethical considerations of AI within Varicent. 
• Technology Implementation and Evaluation: Implement at least one of the recommended additional or alternative technologies. Begin a systematic evaluation of its effectiveness and compatibility with existing systems and business needs.

• 7 Months & Beyond:
• Strategic AI Integration: Strategically integrate the developed AI solutions into core business functions, demonstrating clear improvements in efficiency, decision-making, and innovation. 
• AI Solution Optimization: Evaluate the effectiveness of implemented AI solutions and make necessary optimizations. Each "quick win" should have transitioned into a long-term, sustainable solution that drives significant business impact. 
• AI Culture Consolidation: In partnership with the team, establish a thriving AI culture, where a majority of team members are not only aware of AI but actively incorporate AI in their work processes. Offer advanced workshops to those showing high proficiency. 
• Framework and Policy Enhancement: In partnership with the team, eEnhance the framework and policies to accommodate the evolving AI capabilities and requirements. Ensure these structures facilitate efficient AI use and comply with emerging ethical guidelines and legal regulations concerning AI. 
• Technology Review and Future Planning: in partnership with the team, conduct a thorough review of all AI-related technologies in use. Based on their performance and the evolving needs of the organization, provide a future technology roadmap that outlines proposed tech acquisitions, upgrades, or phase-outs.

• Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. 
• A combination of in-depth understanding of potential applications of generative AI, a solid understanding of business processes, and strong program management experience.  
• 5+ years of large-scale technology and innovation projects with engineering and product/business teams OR 5+ years support/development experience  
• Knowledge and understanding of AI capabilities and their applications in business. 
• Understand, analyze, and connect different IT systems using middleware platforms to optimize business processes and data flow. 
• Ability to design, develop, test, and debug light-weight software and scripts that meet business needs. 
• Excellent communication and stakeholder management skills, with the ability to collaborate and communicate effectively at all levels across technical and non-technical teams.  
• Excellent analytical and problem-solving skills to identify business opportunities and develop effective solutions. 
• Project management experience with the ability to lead and coordinate cross-functional teams. 
• Strong communication and presentation skills to convey complex AI concepts to non-technical stakeholders. 

Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com

Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact

Who are we?

We’re a small, diverse team working at the cutting edge of machine learning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before. 

We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

Why this role?

We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. 

Please Note: This is a part-time contract position based out of our Toronto office. We are looking for candidates who are able to commit to three 4-hour shifts per week at a $20/hour contract rate. Our Toronto office is dog-friendly, conveniently located, and has a great snack selection. This role is BYOD 💻 - Bring Your Own Device (laptop). Occasional remote work is permitted. Performance incentives included! 

As a Data Quality Specialist, you will:

• Label, rank, audit, and correct machine learning data
• Complete text-based tasks in an efficient and attentive manner
• Recommend optimization opportunities
• Provide feedback to cross-functional team members

• Expert oral and written skills - which you are ready to prove on our written test
• Strong attention to detail and commitment to accuracy - you’re the type to proofread all of your emails! 
• Ability to follow complex instructions, navigate ambiguity and work independently
• Superb sense of urgency and time management
• High tolerance for monotonous tasks
• Curiosity about technology and a knack for tackling problems in creative ways
• A reliable laptop you are able to bring into the office

Interview Process: The interview process for this role includes a 30-minute introductory Google Meet, and is followed by a practical interview consisting of language-based tasks (e.g., writing sample, summarizing text, or interacting with a chat bot).

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Our Perks:

🤝 An open and inclusive culture and work environment 

🧑‍💻 Work with cutting-edge AI technology

🪴 A vibrant & central location

🥨 A great selection of office snacks

🏆 Performance-based incentives