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Member of Technical Staff - RL Environments

Cohere· Modeling
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Hybrid (London)CA$295k - CA$535kFull-timePosted 2mo ago

About the role

Role focused on building and refining reinforcement learning environments for evaluating and training AI agents within enterprise-scale tasks, collaborating across modeling and product to improve agent performance and environment quality.

Responsibilities

  • Build new RL environments targeting different agentic capabilities and industry areas
  • Train and evaluate agents in those environments
  • Make all the pieces work together: tasks, data, tool implementations, and verifiers
  • Work across modeling and product to identify gaps in agent performance, and improve both the agents and the environments
  • Work with external vendors to create high-quality, expert-built RL environments, and build tools to ensure high task, data, and verifier quality
  • Automate the discovery of model capability gaps, and systematically measure agent performance during evals and training

Qualifications

  • You have engineered agents and optimized them for specific industry use cases
  • You have spent dozens of hours reviewing agent trajectories to pinpoint exact failure points and fix them with model training or harness engineering
  • You obsess over measuring agentic capabilities and turning that into a repeatable process
  • You have had many debates about what a good outcome from an AI agent should look like, you translated that into verifier implementations and tuned the reward designs
  • You have designed and run annotation workflows to surface insights into agent performance and verify data quality
  • You have built synthetic data pipelines to scale eval and training efforts
  • You use agents yourself in your daily work, and have stories about how you improved your setup to 10x your productivity
  • A plus: you have experience with training with RL: scaling, troubleshooting and tuning the environments

Skills

Required:RL environment designAgent training and evaluationAnnotation workflow design
Nice to have:Synthetic data pipelines

Benefits

  • A weekly lunch stipend of $75/£75 or equivalent in local currency
  • 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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Cohere

Support automation that's actually intelligent

Cohere resolves 40-70% of support requests using AI, over all channels, within just a few days.

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