Machine Learning Intern/Co-op (Winter 2024)

Cohere AI · Peninsula

Company

Cohere AI

Location

Peninsula

Type

Full Time

Job Description

Who are we?
We’re a team of engineers, thinkers, and champions whose aim is to give technology language. Every day our team is breaking new ground, as we build transformational AI technology and products for enterprise and developers that wish to harness the power of Large Language Models.

We're driven by ambition, as we firmly believe that our technology has the potential to revolutionize the way industries engage with natural language. Our strong technical foundation speaks for itself, with our team composed of world-class experts who have collectively accumulated hundreds of thousands of citations in academia.

The Cohere team is a collective of college dropouts, PhDs, alumni of big tech and scrappy start-ups, new grads and career pivots, who believe a diverse team is the key to a safer, more responsible technology. At Cohere, work isn’t the opposite of play, as we build the future of language AI with team members on almost every continent in the world, working from high rises, cabins, tour buses, and dog-friendly offices.

There’s no better time to herald the next step with us as we shape the future of Generative AI.

Why this role?
Ship state of the art models to production.
Design and implement novel research ideas.
Build elegant training/deployment pipelines.
Join us at a pivotal moment, shape what we build and wear multiple hats as an intern!

Please Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term (January - April). 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.

As a Machine Learning Intern, you will:

  • Design, train and improve upon cutting-edge models
  • Help us develop new techniques to train and serve models safer, better, and faster
  • Train extremely large-scale models on massive datasets
  • Explore continual and active learning strategies for streaming data
  • Publish your work in top-tier conferences and journals
  • Learn from experienced senior machine learning technical staff
  • Work closely with product teams to develop solutions

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: papers 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 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 
🍽 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, Palo Alto, and London and coworking stipend
✈️ Paid vacation

Apply Now

Date Posted

11/06/2023

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