Cohere
Software Engineer, ML Workload Platform
Canada, Remote. Posted 7 days ago
The role
You will build the platform that runs training, evaluation, and reinforcement-learning workloads. This includes job lifecycle, scheduling, workload networking, and storage. You will work with AI researchers and ML engineers on stability, scalability, and observability.
What you will do
- Own the platform that schedules and runs training, evaluation, and reinforcement-learning jobs on Kubernetes
- Build networking and runtime isolation 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
- Build automation, infrastructure-as-code, and observability
Required qualifications
- Run a job platform, batch system, or Kubernetes controllers in production
- Shown distributed systems judgment regarding retries and partial failure
- Worked on ML training workflows, RL sandboxes, container networking (CNI), or checkpoint storage at scale
- Written software in Python or Go
- 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
Nice to have
- Direct GPU-cluster experience
Benefits
- Weekly lunch stipend of $75/£75 or equivalent
- 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
- Annual enrichment benefits for arts & culture, fitness/wellness, quality time, and workspace improvement
- Education & learning stipend for conferences, courses, and coaching
- 6 weeks of paid vacation
- Budget for traveling to other offices if remote
- Annual company offsite
- Daily lunch program and snacks for those in office
- Co-working benefit for those not near an office
- $500 home office stipend
About the company
Cohere is a security-first enterprise AI company that builds foundation AI models and end-to-end products. It is a global technology company headquartered in Toronto.