Machine Learning Engineer

Toronto
Tech – Modeling /
Full-time, Remote /
Remote
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 future!

Why this role?
Design and implement novel research ideas. 

Ship state of the art models to production.

Deep connections to academia.

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 need.

Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.

Working on Machine Learning, you will:

    • Design, train and improve upon cutting-edge models.
    • Develop new techniques to train and serve models safer, better, and faster.
    • Train extremely large scale models on massive datasets.
    • Engage in research collaborations with our partner organizations and academic affiliations.
    • Publish your work in top-tier conferences and journals.
    • Work closely with product teams to develop solutions.
    • Assist our legal teams with preparation of patents on developed IP.
    • Join us at a pivotal moment, shape what we build and wear multiple hats!

You may be a good fit if you have:

    • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
    • Experience using large-scale distributed training strategies.
    • Familiarity with autoregressive sequence models, such as Transformers.
    • Strong communication and problem-solving skills.
    • A demonstrated passion for applied NLP models and products.
    • Bonus: experience writing kernels for GPUs using CUDA.
    • Bonus: experience training on TPUs.
    • Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
    • * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.


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 of all kinds and are committed to providing an equal opportunity process. Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you 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 
🍽 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.