Member of Technical Staff, Training Infra Engineer

Cohere; New York (NY); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Lunch stipend

Health and dental benefits

RRSP/401K plan

Job summary

Cohere is a leading security-first enterprise AI company focused on building foundation models and end-to-end products for real-world business problems. We welcome candidates for a role that blends research and production, with no remote location restrictions and multiple offices worldwide.

The role emphasizes contributing to training pipelines, shipping frontier models to production, and bridging research with scalable production code.

Qualifications

• Extremely strong software engineering skills.
• Proficiency in Python and 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).

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.

Skills

Software engineering

Python ML

Distributed training

Kubernetes & Slurm

Large-scale training

Research tooling

Tools

JAX

PyTorch

XLA/MLIR

Ray

Kubernetes

Slurm

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. Should you require any accommodations during the recruitment process, please submit Accommodations Request Form, and we will work together to meet your needs.

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.

Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.