Senior ML Systems Engineer, Frameworks & Tooling

Cohere·London·1 дек.

Senior ML Systems Engineer, Frameworks & Tooling

🏢 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

Build and own the training framework responsible for large-scale LLM training

Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing)

Improve training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100)

Develop and maintain tooling for monitoring, logging, debugging, and developer ergonomics

Collaborate closely with infra teams to ensure our cluster, container environments, and hardware configurations support high-performance training

Investigate and resolve performance bottlenecks across the ML systems stack

Build robust systems that ensure reproducible, debuggable, large-scale runs

Build a high-performance data loading and caching pipeline

Implement performance profiling across the ML systems stack

Develop internal metrics and monitoring for training runs

Build reproducibility and regression testing infrastructure

Develop a performant fault-tolerant distributed checkpointing system

Наши требования

Experience with training LLMs or other large transformer architectures

Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.)

Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches)

Experience with data pipeline optimization, sharded datasets, or caching strategies

Background in performance engineering, profiling, or low-level systems

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

Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar)

Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines

Experience working with containerized environments (Docker, Singularity/Apptainer)

A track record of building tools that increase developer velocity for ML teams

Excellent judgment around trade-offs: performance vs complexity, research velocity vs maintainability

Strong collaboration skills — you’ll work closely with infra, research, and deployment teams

Мы предлагаем

You’ll work on some of the most challenging and consequential ML systems problems today

You’ll collaborate with a world-class team working fast and at scale

You’ll have end-to-end ownership over critical components of the training stack

You’ll shape the next generation of infrastructure for frontier-scale models

You’ll build tools and systems that directly accelerate research and model quality

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

Strong engineering experience in large-scale distributed training or HPC systems

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

London

ГрейдSenior

ЗанятостьПолная занятость

РегионВеликобритания

ФорматОфис

ИсточникСкрыто

Опубликовано1 дек.

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