Member of Technical Staff, RAG

Full-time

Job Description

This job posting has expired and no longer accepting applications.

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 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 the 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!

Why this role?

Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. 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 conducting research 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 Toronto, London, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.

As a Member of Technical Staff, you will:

Design, build and scale AI systems for serving our users.

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

Learn from and work with the best researchers, engineers and annotators in the field.

Drive agent development in RAG, tool use, and language agents.

Work with internal annotators in creating and evaluating data for post-training LLMs, ensuring quality and performance.

You may be a good fit if you have:

Extremely strong software engineering skills.

Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.

Deep experience in AI data evaluation and managementStrong track record of creating and curating large-scale datasets

Experience using large-scale distributed training strategies.

Familiarity with autoregressive sequence models, such as Transformers.

Ability to collaborate effectively with human annotators and cross-functional teams.

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! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, 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.

Our Perks:

🤝 An open and inclusive culture and work environment

🧑‍💻 Work closely with a team on the cutting edge of AI research

🍽 Free daily lunch

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being

🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and coworking stipends

✈️ Paid vacation

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