Senior ML Systems Engineer: Training Frameworks & Tooling

Cohere; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Cohere is seeking a senior engineer to help build, maintain, and evolve the training framework that powers frontier-scale language models. This role sits at the intersection of large-scale training, distributed systems, and HPC infrastructure.

You will design and maintain core components that enable fast, reliable model training, and build tooling that connects research ideas to thousands of GPUs. You’ll work across the full ML systems stack with autonomy and impact.

Qualifications

• Strong engineering experience in large-scale distributed training or HPC systems.
• Familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops.
• 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.

Responsibilities

• 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.

Skills

Distributed training

JAX internals

Multi-node orchestration

CUDA/NCCL debugging

Container tooling

ML tooling for teams

Education

Bachelor's degree in CS or related field

Tools

JAX

Slurm

Ray

Kubernetes

Docker

Job description

Cohere is seeking a senior engineer to help build, maintain, and evolve the training framework that powers frontier-scale language models. This role sits at the intersection of large-scale training, distributed systems, and HPC infrastructure.

You will design and maintain core components that enable fast, reliable model training, and build tooling that connects research ideas to thousands of GPUs. You’ll work across the full ML systems stack with autonomy and impact.