Member of Technical Staff, Safety for Agents

Member of Technical Staff, Safety for AgentsJoin to apply for the Member of Technical Staff, Safety for Agents role at CohereMember of Technical Staff, Safety for AgentsJoin to apply for the Member of Technical Staff, Safety for Agents role at CohereGet AI-powered advice on this job and more exclusive features.Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.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. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the futureWhy this role?As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better and fairer Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams.This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management.It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole.Please Note: The existing team work in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly For this role you need to have ~50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role.You May Be a Good Fit If You HaveStrong statistical skills and experience evaluating scientific experiments related to data collection and model performance.Extremely strong software engineering skills.Strong expertise in designing and conducting data collection tasks, including working with human annotators.Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models.Hands-on experience training large language models (LLMs) on distributed training infrastructures.Familiarity with evaluating and improving the generalizability and robustness of ML systems.Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).Excellent communication skills to collaborate effectively with cross-functional teams and present findings.One or more papers 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 If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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.Full-Time Employees At Cohere Enjoy These Perks An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks 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, New York, San Francisco and London and co-working stipend️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Cohere by 2xSign in to set job alerts for “Member of Technical Staff” roles.Medical Laboratory Technologist - Molecular Diagnostics - Temporary Full-time 2025-12488 (2025-12488)Technical Consulting Director, HydrologistMember of Technical Staff (intern/co-op)Toronto, Ontario, Canada $150,000.00-$600,000.00 2 weeks agoMember of Technical Staff, Post-TrainingMember of Technical Staff, Next Generation AgentsMember of Technical Staff, Pre-Training DataMember of Technical Staff, Training Infra EngineerMember of Technical Staff, Training Performance EngineerMember of Technical Staff (SQL Foundations)Member of Technical Staff, Data Analysis and EvaluationMember of Technical Staff (Cloud Platform)Member of Technical Staff, Model Serving InfrastructureSenior Member of Technical Staff Multimodal AIWe’re unlocking community knowledge in a new way. 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