Member of Technical Staff Post Training

Toronto-founded enterprise AI company building foundation models, agentic AI, enterprise search, and private deployment products.

Toronto, Canada
About Cohere

Cohere provides enterprise-focused AI models and end-to-end products, including North for agentic workplace AI, Compass for enterprise search, and models for generation and retrieval. It supports private, VPC, and on-premises deployment options.

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Skills

About the Role

You will design high-performance, scalable software for model training and post-train models for state-of-the-art performance. You will improve SFT and RL training cycles, coordinate with specialist teams, and research and implement ideas using supercompute and data infrastructure.

Requirements

  • Strong software engineering skills
  • Proficiency in Python, JAX, PyTorch, and XLA/MLIR
  • Experience with distributed training infrastructure including Kubernetes and Slurm
  • Experience with Ray
  • Experience with large-scale distributed training strategies
  • Experience training large models at scale
  • Experience with model post-training and performance optimization

Responsibilities

  • Design and write high-performance scalable software for model training
  • Post-train models to achieve state-of-the-art performance
  • Coordinate with specialist teams to produce broadly capable models
  • Develop techniques to improve SFT and RL training cycles
  • Research, implement, and experiment using supercompute and data infrastructure

Benefits

  • Weekly lunch stipend of $75/£75 or local-currency equivalent
  • Health and dental benefits
  • Mental health budget
  • RRSP matching, 401K, and pension scheme
  • Parental leave top-up for up to 6 months
  • Arts, culture, fitness, wellness, quality-time, and workspace-improvement benefits
  • Education and learning stipend
  • 6 weeks of paid vacation
  • Remote travel budget and annual company offsite
  • Co-working benefit
  • $500 home office stipend
Member of Technical Staff Post Training at Cohere | JobStash