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Member of Technical Staff, Integration/RL Team (Research Engineer)
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Cohere·Paris·19 авг.

Member of Technical Staff, Integration/RL Team (Research Engineer)

🏢 ОфисSeniorПолная 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

Чем предстоит заниматься

Design and write high-performing and scalable software for training models
Develop new tools to support and accelerate research and LLM training
Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem
Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime
Research, implement, and experiment with ideas on our cluster and data infrastructure
Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!

Наши требования

Extremely strong software engineering skills
Value test-driven development methods, clean code, and strive to reduce technical debts at all levels
Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR
Experience using and debugging large-scale distributed training strategies (memory/speed profiling)
[Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray)
[Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance
[Bonus] Experience in ML, LLM and RL academic research

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

Have a deep passion for quality work
Enjoy tuning and optimising large LLM models
Comfortable working with people with different levels of software engineering skills, from beginner to more advanced
Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems
Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and 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
C
Cohere
Paris

ГрейдSenior
ЗанятостьПолная занятость
РегионФранция
ФорматОфис
ИсточникСкрыто
Опубликовано19 авг.
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