Member of Technical Staff, Training Infra Engineer

Cohere; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Lunch stipend

Health & dental benefits

401K / Pension

Parental leave top‑up

Enrichment benefits

Job summary

Cohere is seeking a Member of Technical Staff to advance training pipelines and ship state‑of‑the‑art models. You will help bridge research and production by writing scalable training software and improving infrastructure. You will collaborate with researchers and engineers to push the frontier of enterprise AI.

The role offers remote-friendly placement with access to extensive compute and data resources, and opportunities to publish and contribute to tooling for large-scale model training.

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 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 frameworks (JAX, PyTorch, XLA/MLIR)

Distributed training infra (Kubernetes

Slurm

Ray

Large-scale distributed training

Training tooling/infra

Research papers (top-tier)

Tools

Kubernetes

Slurm

Ray

JAX

PyTorch

XLA/MLIR

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 co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!

Why this role?

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.

As a Member of Technical Staff, you will:

• 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.

You may be a good fit if you have:

• 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).

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/well