Member of Technical Staff - RL Environments

Highlights

• Build RL environments replicating real enterprise work to train AI agents.
• Drop agents into environments to evaluate and improve their capabilities.
• Turn customer feedback into continuous agent and environment improvements.

What they offer

• $75 weekly lunch stipend
• Full health and dental benefits including mental health budget
• RRSP matching, 401K, Pension Scheme
• 100% parental leave top-up for up to 6 months
• 6 weeks of paid vacation
• $500 home office stipend
• Annual enrichment, education and co-working benefits

Ideal candidate

A hands-on agent builder obsessed with measuring performance and crafting realistic tasks, who uses AI daily and thrives turning failure analysis into better models and environments.

Requirements

• Engineered agents and optimized them for specific industry use cases
• Reviewed agent trajectories to pinpoint failure points and fix via training or harness engineering
• Obsess over measuring agentic capabilities and turning that into repeatable process
• Translated desired agent outcomes into verifier implementations and reward designs
• Designed annotation workflows to surface performance insights and verify data quality
• Built synthetic data pipelines to scale eval and training efforts