Member of Technical Staff, Agentic Environments

Highlights

• Build scalable production systems for training frontier enterprise AI models.
• Bridge research concepts to real-world agentic systems working at scale.
• Design experiments and tools to accelerate LLM training and research.

What they offer

• 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
• Annual enrichment, education and learning stipend
• 6 weeks of paid vacation
• Travel budget for remote employees plus annual company offsite
• $500 home office stipend
• Co-working benefit for those not near an office

Ideal candidate

Senior engineer passionate about quality work and production AI at scale who thrives in fast-paced environments and enjoys collaborating across research and engineering teams.

Requirements

• Extremely strong software engineering skills
• Value test-driven development, clean code and reducing technical debt
• Proficiency in Python and ML frameworks such as JAX, PyTorch and/or XLA/MLIR
• Experience using and debugging large-scale distributed training strategies
• Experience with distributed training infrastructure (Kubernetes) and frameworks (Ray)
• Experience in ML and LLM academic research