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Staff Research Engineer, Model Efficiency

Cohere· Modeling
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RemoteCA$295k - CA$535kFull-timePosted 11mo ago

About the role

Role focused on improving inference speed and efficiency of large language models across production, including architecture and routing optimizations, decoding/inference-time improvements, and software/hardware co-design for GPU acceleration.

Responsibilities

  • Develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.

Qualifications

  • PhD in Machine Learning or a related field
  • Understand LLM architecture and how to optimize LLM inference given resource constraints
  • Significant experience with one or more techniques that enhance model efficiency
  • Strong software engineering skills
  • An appetite to work in a fast-paced high-ambiguity start-up environment
  • Publications at top-tier conferences and venues (ICLR, ACL, NeurIPS)
  • Passion to mentor others

Skills

Required:PhD in Machine Learning or related fieldLLM architecture and inference optimizationModel efficiency techniquesSoftware engineering
Nice to have:Mentoring

Benefits

  • Weekly lunch stipend ($75/£75 or equivalent)
  • 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 benefits (arts, fitness, workspace improvement, education & learning stipend)
  • 6 weeks of paid vacation (30 working days)
  • Budget for traveling to other offices plus annual company offsite
  • $500 home office stipend
Last updated Oct 21, 2026. Interested? Apply on the company site.
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Cohere resolves 40-70% of support requests using AI, over all channels, within just a few days.

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