Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems. We partner closely with …
📋 Job Overview
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.
🏢 About Cohere
Cohere is a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
🎯 The Role
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.
✅ Key Responsibilities
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.
📌 Required Qualifications
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.
⭐ Desirable Experience
If this does not line up exactly with your experience, we still encourage you to apply.
🎁 Benefits
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.
🛂 Visa & Eligibility
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.
