Cohere

<h2>Who are we?</h2>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!<h2>Why this role?</h2>This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions.Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads. <h2>As a Senior/Staff Software Engineer, you will:</h2><ul><li>Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle.</li><li>Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and other core product foundations.</li><li>Build highly reliable control-plane services for provisioning, configuring, scaling, and operating model deployments across clouds and hardware platforms.</li><li>Design APIs and distributed systems with strong guarantees around correctness, consistency, isolation, failure recovery, idempotency, and observability.</li><li>Build security and privacy into the platform architecture, including tenant isolation, least-privilege access, auditability, secrets management, encryption, and confidential computing boundaries.</li><li>Solve complex problems that span backend systems, cloud infrastructure, security, and AI inference, where conventional SaaS patterns are often not enough.</li><li>Drive projects end-to-end, from architecture and threat modeling through implementation, rollout, production operations, and iteration based on real customer workloads.</li></ul><h2>You may be a good fit if:</h2><ul><li>You are a strong backend engineer with excellent fundamentals in distributed systems, databases, networking, operating systems, and security.</li><li>You have strong programming fundamentals and experience building production systems in languages such as Go, Python, Java, C++, Rust, or similar. You write clean, maintainable, well-tested code and make thoughtful tradeoffs between simplicity, performance, and correctness.</li><li>You have designed and operated production systems where correctness, availability, security, and performance mattered at significant scale.</li><li>You can take ambiguous, high-impact technical problems, define the right architecture, and drive them through to reliable production systems.</li><li>You have strong systems-design instincts and understand concepts such as concurrency, consistency, caching, queues, rate limiting, backpressure, failure domains, idempotency, and graceful degradation.</li><li>You think deeply about security boundaries and understand authentication, authorization, identity, cryptography, secrets, tenant isolation, and how small implementation choices can create significant security risks.</li><li>You are comfortable reasoning across backend services, APIs, databases, distributed systems, and the cloud infrastructure they run on.</li><li>You are comfortable diving into unfamiliar codebases and debugging complex problems that cross service or system boundaries.</li><li>You care about the details of production engineering, including instrumentation, capacity planning, migrations, backwards compatibility, incident response, and safe rollouts.</li><li>You are comfortable challenging existing architecture and evolving foundational components when the system’s needs change.</li><li>You have a track record of taking technically difficult projects from an unclear starting point to systems that other engineers and customers depend on.</li></ul><h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</li><li>Full health and dental benefits, including a separate budget for mental health.</li><li>RRSP matching, 401K, Pension Scheme.</li><li>100% Parental Leave top-up for up to 6 months, for either parent.</li><li>Annual enrichment benefits:Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.Education &amp; learning stipend for conferences, courses, and coaching.</li></ul><ul><li>6 weeks of paid vacation (30 working days!)</li><li>Budget for traveling to other offices if you are remote, plus an annual company offsite.</li></ul><h2>How and Where We Work:</h2><ul><li>Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.</li><li>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</li><li>For those not near an office: a co-working benefit so you can work alongside others in your city.</li><li>Everyone receives a $500 home office stipend to set up your workspace properly.</li></ul>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, and we will work together to meet your needs.We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our <a target="_blank" rel="noopener noreferrer ugc" href="https://cohere.com/careers">official careers</a> page.

Senior/Staff Software Engineer (Back-End), Inference

<h2>Who are we?</h2>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Key Overview: As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams. Key Responsibilities<ul><li>Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards).</li><li>Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization.</li><li>Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting.</li><li>Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions.</li><li>Turn successful research into robust, reproducible training recipes for production models.</li></ul> Qualifications<ul><li>Strong research and software engineering skills, with hands-on experience training LLMs.</li><li>Experience applying reinforcement learning to LLMs (e.g., PPO, GRPO, RLHF, RLVR), ideally at scale.</li><li>Track record of work on generalization, robustness, or distribution shift, through publications or shipped models.</li><li>Rigorous experimental practice: clean ablations, careful controls, and sound conclusions from noisy results.</li><li>Experience with distributed training (e.g., JAX, PyTorch, FSDP, Megatron) is a plus.</li><li>Excellent communication skills.</li><li>Deep understanding of data quality principles and best practices: demonstrates willingness to dive deep into data while possessing strong intuition for assessing the quality of datasets and anticipating how different data characteristics will impact model training outcomes. </li></ul>Working Location This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.<div> </div><h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</li><li>Full health and dental benefits, including a separate budget for mental health.</li><li>RRSP matching, 401K, Pension Scheme.</li><li>100% Parental Leave top-up for up to 6 months, for either parent.</li><li>Annual enrichment benefits:Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.Education &amp; learning stipend for conferences, courses, and coaching.</li></ul><ul><li>6 weeks of paid vacation (30 working days!)</li><li>Budget for traveling to other offices if you are remote, plus an annual company offsite.</li></ul><h2>How and Where We Work:</h2><ul><li>Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.</li><li>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</li><li>For those not near an office: a co-working benefit so you can work alongside others in your city.</li><li>Everyone receives a $500 home office stipend to set up your workspace properly.</li></ul>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, and we will work together to meet your needs.We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our <a target="_blank" rel="noopener noreferrer ugc" href="https://cohere.com/careers">official careers</a> page.

Member of Technical Staff - Post-Training (Reinforcement Learning & Generalization)

<h2>Who are we?</h2>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!Role Overview:As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories.You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation.This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply.You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required.Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions.Key Responsibilities:<ul><li>Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation</li><li>Create cohesive data infrastructure that supports continuous parallel operation with model experimentation</li><li>Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation</li><li>Collaborate with the ML modeling team to align data capabilities with experimental needs</li><li>Maintain opinionated, well-documented solutions that become team standards</li><li>Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps</li></ul>Qualifications:<ul><li>Extremely strong software engineering skills.</li></ul><ul><li>Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.</li><li>Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL)</li></ul><ul><li>Demonstrated ability to own complex technical projects from conception to deployment</li><li>Opinionated approach to technical architecture with ability to make principled decisions</li><li>Understanding of ML data requirements and the intersection of data engineering with modeling workflows</li></ul>Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.<div> </div><h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</li><li>Full health and dental benefits, including a separate budget for mental health.</li><li>RRSP matching, 401K, Pension Scheme.</li><li>100% Parental Leave top-up for up to 6 months, for either parent.</li><li>Annual enrichment benefits:Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.Education &amp; learning stipend for conferences, courses, and coaching.</li></ul><ul><li>6 weeks of paid vacation (30 working days!)</li><li>Budget for traveling to other offices if you are remote, plus an annual company offsite.</li></ul><h2>How and Where We Work:</h2><ul><li>Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.</li><li>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</li><li>For those not near an office: a co-working benefit so you can work alongside others in your city.</li><li>Everyone receives a $500 home office stipend to set up your workspace properly.</li></ul>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, and we will work together to meet your needs.We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our <a target="_blank" rel="noopener noreferrer ugc" href="https://cohere.com/careers">official careers</a> page.

Senior Research Engineer - Safety Tooling and Data

<h2>Who are we?</h2>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!Why this role?This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests.Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. As a Data Annotation Specialist, you will:<ul><li>Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools.</li><li>Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests.</li><li>Prompt models to complete complex data science tasks and review the accuracy of generated responses.</li><li>Label, proofread, and improve machine-written and human-written software engineering-related outputs.</li><li>Report quality and performance trends related to model/agent behaviour and project assignments.</li></ul>You may be a good fit if you have:<ul><li>Exceptional data analysis and visualization skills.</li><li>3+ years of relevant industry experience working on real-world data science problems and pipelines.</li><li>Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others).</li><li>Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML.</li><li>Prior experience re-writing, proofreading, and delivering feedback on code.</li><li>Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus.</li></ul>The Candidate Journey:<ul><li>Initial Screening: Our Talent Team will review your application.</li><li>First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email.</li><li>Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise.</li><li>Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team.</li><li>Final: Selected candidates will receive an Independent Contractor Agreement.</li></ul>As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor.It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week.Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.If the above qualifications do not perfectly align with your experience, we still encourage you to apply!We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Data Annotation Specialist, Data Science

<h2>Who are we?</h2>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Member of Technical Staff specializing in web data for pre-training, you will play a pivotal role in developing the large scale web data pipeline that underpins Cohere’s advanced language models. In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering. You will also analyze the composition and quality of web data, study its impact on downstream model performance, and collaborate closely with the broader data and evaluation teams to iterate on the training corpus.Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. (EST/EU) Key Responsibilities:<ul><li>Maintain large-scale pipelines for processing web corpora.</li><li>Work on filtering and quality-scoring systems to identify high-value web documents.</li><li>Analyze web data composition across domains, languages and time periods.</li><li>Develop and maintain highly-performant deduplication pipelines.</li><li>Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.</li></ul>Qualifications:<ul><li>Strong software engineering skills, with proficiency in Python and experience building data pipelines.</li><li>Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.</li><li>Experience working with large-scale web datasets.</li><li>Knowledge of data quality assessment techniques and experimentation with data mixtures.</li><li>A passion for bridging research and engineering to solve complex data-related challenges in AI model training.</li></ul>Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.<div> </div><h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</li><li>Full health and dental benefits, including a separate budget for mental health.</li><li>RRSP matching, 401K, Pension Scheme.</li><li>100% Parental Leave top-up for up to 6 months, for either parent.</li><li>Annual enrichment benefits:Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.Education &amp; learning stipend for conferences, courses, and coaching.</li></ul><ul><li>6 weeks of paid vacation (30 working days!)</li><li>Budget for traveling to other offices if you are remote, plus an annual company offsite.</li></ul><h2>How and Where We Work:</h2><ul><li>Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.</li><li>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</li><li>For those not near an office: a co-working benefit so you can work alongside others in your city.</li><li>Everyone receives a $500 home office stipend to set up your workspace properly.</li></ul>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an<a target="_blank" rel="noopener noreferrer ugc" href="https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit"> Accommodations Request Form</a>, and we will work together to meet your needs.We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our <a target="_blank" rel="noopener noreferrer ugc" href="https://cohere.com/careers">official careers</a> page.

Cohere

Open jobs at Cohere

Senior/Staff Software Engineer (Back-End), Inference

Member of Technical Staff - Post-Training (Reinforcement Learning & Generalization)

Senior Research Engineer - Safety Tooling and Data

Data Annotation Specialist, Data Science

Senior Member of Technical Staff, Web Data

Working for Cohere?

Featured companies