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

Who are we

Our mission is to scale intelligence to serve humanity. Were 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 whats 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 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. While tasks are assigned according to everyones 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 UTC06:00 and UTC01:00.

As a Member of Technical Staff you will:

• Design and write high-performing and scalable software for training models.

• 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.

• Craft and implement techniques to improve performance and speed up our training cycles both on SFT offline preference and the RL regime.

• Research implement and experiment with ideas on our cluster and data infrastructure.

• Collaborate Collaborate and Collaborate with other scientists engineers and teams!

You are an ideal candidate if you have:

• Extremely strong software engineering skills.

• Value test-driven development methods clean code and strive to reduce technical debts at all levels.

• Proficiency in Python and related ML frameworks such as JAX Pytorch and/or XLA/MLIR.

• Experience using and debugging large-scale distributed training strategies (memory/speed profiling).

• Bonus Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).

• Bonus Hands-on experience with the post-training phase of model training with a strong emphasis on scalability and performance.

• Bonus 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.

If some of the above doesnt 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 stipend

6 weeks of vacation

Note: This post is co-authored by both Cohere humans and Cohere technology.