Member of Technical Staff, Training Infra Engineer

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 future!

Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work.

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.

• Design and write high-performant and scalable software for training. 

• Improve our training setup from an infrastructure and codebase performance standpoint.

• Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure

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

• Learn from and work with the best researchers in the field.

• Extremely strong software engineering skills.

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

• Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray)

• Experience using large-scale distributed training strategies.

• Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure

• 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!

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.