Member of Technical Staff, Training Infra Engineer Cohere · Remote · France · Platform & Infrastructure Pay not stated 1y ago

Devopsroles; Paris; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Lunch stipend

Health & dental benefits

RRSP matching

Parental leave

Enrichment benefits

Vacation days

Travel budget

Company offsite

Co-working stipend

Home office stipend

Job summary

Cohere is a security-first enterprise AI company building foundation models and products to solve real-world business problems. You will help train models, ship to production, and bridge research with production in a highly capable compute environment.

The role offers remote-friendly work with offices in major cities; you will collaborate with top researchers and engineers across distributed teams and tooling, contributing production-grade code and scalable training pipelines.

Qualifications

• Strong software engineering skills.
• Proficiency in Python and ML frameworks (JAX, PyTorch, XLA/MLIR).
• Experience with distributed training infrastructures (Kubernetes, Slurm) and Ray.
• Hands-on experience training large models at scale and contributing to tooling.
• Bonus: papers at top-tier venues.

Responsibilities

• Design and write high-performant and scalable software for training.
• Improve our training setup from an infrastructure and codebase performance standpoint.
• Craft and implement tools to speed up our training cycles.
• Research, implement, and experiment with ideas on our supercompute and data infrastructure.
• Learn from and work with the best researchers in the field.

Skills

Software engineering

Python

ML frameworks

Distributed training

Kubernetes

Slurm

Ray

Research collaboration

Neural networks

Tools

JAX

PyTorch

XLA/MLIR

GCC

Git

Job description

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.

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 team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Role Overview:

Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. 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 supporting our research effort 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 London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.

Key Responsibilities:

• Design and write high-performant and scalable software for training.

• Improve our training setup from an infrastructure and codebase performance standpoint.

• Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure

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

• Learn from and work with the best researchers in the field.

Qualifications:

• Extremely strong software engineering skills.

• Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR.

• Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray)

• Experience using large-scale distributed training strategies.

• Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure

• Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.

Full-Time Employees at Cohere enjoy these Perks:

• 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.

How and Where We Work:

• Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening 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.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities.

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.