Software Engineer, ML Workload Platform

Cohere; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Weekly lunches

Job summary

Cohere, a security-first enterprise AI company, is looking for an engineer to own the Kubernetes-based platform that schedules and runs ML training, evaluation, and RL workloads. You’ll ensure stability, scalability, and observability to support researchers and ML engineers building the platform.

You may be a good fit if you have hands-on production experience with job platforms or Kubernetes controllers, strong distributed-systems judgment, and proficiency in Python or Go.

Qualifications

• Run a job platform, batch system, or Kubernetes controllers in production.
• Scheduling, queues, and multi-tenant fairness are central to this work.
• Experience with ML training workflows, RL sandboxes, container networking at scale is a plus.
• Proficiency in Python or Go and contributing to open-source projects is valued.

Responsibilities

• Own the platform that schedules and runs training, evaluation, and reinforcement-learning jobs on Kubernetes.
• Build networking and runtime isolation for workloads.
• Work with data infra on storage for checkpoints and artifacts.
• Troubleshoot production failures and improve operability.
• Build automation and observability to maintain the platform.

Skills

Kubernetes

Python

Go

Distributed systems

On-call rotation

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!

Why this team?

Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere’s foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North. You will build the platform that runs training, evaluation, and reinforcement-learning workloads: job lifecycle, scheduling, workload networking, and the storage those jobs depend on. The role includes a compensated 24x7 on-call rotation.

What you will do

• Own the platform that schedules and runs training, evaluation, and reinforcement-learning jobs on Kubernetes: who gets capacity, what happens when a job fails, and how a researcher finds out whether the platform caused it.
• Build the networking and runtime isolation those workloads need, including agent and sandbox environments.
• Work with the data infrastructure team on storage for checkpoints and other training artifacts.
• Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it.
• Build automation, infrastructure-as-code, and observability so the platform stays maintainable.

You may be a good fit if you have

• Run a job platform, batch system, or Kubernetes controllers in production. Scheduling, queues, and multi-tenant fairness are central to this work.
• Shown distributed systems judgment: retries, partial failure, and knowing what not to automate.
• Worked on ML training workflows, RL sandboxes, container networking (CNI), or checkpoint storage at scale. Direct GPU-cluster experience is a plus.
• Written software in Python or Go. You would rather extend a solid open-source project than rebuild it.
• Worked with researchers, ML engineers, or another team whose goals were not identical to yours. Found a bottleneck, proposed a fix, and driven it in a fast-moving environment.

Full-Time Employees at Cohere enjoy these Perks:

A weekly lunch sti