Staff Research Engineer, Model Efficiency

Highlights

• Push the limits of LLM inference efficiency across foundation models.
• Develop and deploy techniques that make models faster in production.
• Explore breakthroughs across model architecture and decoding algorithms.

What they offer

• Full health and dental benefits including mental health budget
• RRSP matching, 401K and pension scheme
• 100% parental leave top-up for up to 6 months
• 6 weeks paid vacation
• Annual enrichment, education and workspace benefits
• $500 home office stipend and co-working benefit
• Weekly lunch stipend and travel budget for offsites

Ideal candidate

A research-minded engineer who obsesses over making LLMs faster and shipping real-world impact. You thrive in fast-paced, ambiguous environments and enjoy mentoring others.

Requirements

• PhD in Machine Learning or related field
• Understanding of LLM architecture and inference optimization under resource constraints
• Significant experience with techniques that enhance model efficiency
• Strong software engineering skills
• Comfort working in fast-paced, high-ambiguity startup environment
• Publications at top-tier venues such as ICLR, ACL, NeurIPS
• Passion for mentoring others