Machine Learning Intern/Co-op (Fall, 2026)

Cohere·Canada·13 мая

Machine Learning Intern/Co-op (Fall, 2026)

🏢 ОфисJuniorПолная занятость

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Наша компания

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

О роли

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a

Наши требования

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)

Мы предлагаем

A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch

Full health and dental benefits, including a separate budget for mental health

RRSP matching, 401K, Pension Scheme

100% Parental Leave top-up for up to 6 months, for either parent

Annual enrichment benefits

Arts & culture, fitness/wellness, quality time, and a workspace improvement credit

Education & learning stipend for conferences, courses, and coaching

6 weeks of paid vacation (30 working days!)

Budget for traveling to other offices if you are remote, plus an annual company offsite

Дополнительно

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

Learn from experienced senior machine learning technical staff

Work closely with product teams to develop solutions

Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon

For those in the office: a daily lunch program, plenty of snacks, and regular community and social events

For those not near an office: a co-working benefit so you can work alongside others in your city

Everyone receives a $500 home office stipend to set up your workspace properly

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider

Cohere

Canada

ГрейдJunior

ЗанятостьПолная занятость

РегионКанада

ФорматОфис

ИсточникСкрыто

Опубликовано13 мая

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