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Posted Aug 19, 2025

Member of Technical Staff, Integration/RL Team (Research Engineer)

at Cohere

Paris, FranceRemote

Responsibilities

  • - Develop new tools to support and accelerate research and LLM training.
  • - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem.

Requirements

  • 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.
  • Join us on our mission and shape the future! The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods.
  • We strive for excellence in both engineering and science by meticulously designing experiments and design docs.
  • - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. -
  • Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - [Bonus] Hands-on
  • Experience in ML, LLM and RL academic research.
  • This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.

Benefits

  • Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - [Bonus]
  • experience with the post-training phase of model training, with a strong emphasis on scalability and performance. - [Bonus]
  • 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 up to 6 months 🎨 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, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

Contact

  • Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Additional details

  • Who are we? Our mission is to scale intelligence to serve humanity.
  • 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.
  • While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs.
  • In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels.
  • Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.
  • you will: - Design and write high-performing and scalable software for training models.

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