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Member of Technical Staff, Training Infra Engineer

Backend Developer • Remote • Full-time • 📍 Paris

Cohere is looking for a Training Infra Engineer to support model training pipelines, ship state-of-the-art models to production, and improve the training setup from an infrastructure and codebase performance standpoint.

Responsibilities

  • Design and write high-performant, scalable software for training
  • Improve the training setup from an infrastructure and codebase performance standpoint
  • Craft and implement tools to speed up training cycles and improve training infrastructure efficacy
  • Research, implement and experiment with ideas on the supercompute and data infrastructure

Requirements

  • Extremely strong software engineering skills
  • Proficiency in Python and ML frameworks such as JAX, PyTorch and XLA/MLIR
  • Experience with distributed training infrastructures (Kubernetes, Slurm) and frameworks such as Ray
  • Experience using large-scale distributed training strategies
  • Hands-on experience training large models at scale, having contributed to training infrastructure tooling/setup

Nice to have

  • Paper at top-tier venues such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP

Soft skills

Willingness to learn from leading researchersStrong ownership of infrastructure qualityComfortable in a fast-paced, high-compute environment

What we offer

  • Weekly lunch stipend ($75/£75 or local equivalent)
  • Full health and dental benefits, including a mental health budget
  • RRSP matching, 401(k) or pension scheme
  • 100% parental leave top-up for up to 6 months, for either parent
  • Annual enrichment benefits (arts & culture, fitness/wellness, workspace improvement credit)
  • Education & learning stipend for conferences, courses and coaching
  • 6 weeks of paid vacation (30 working days)
  • Travel budget to other offices plus an annual company offsite
  • $500 home office stipend and co-working benefit for remote employees

About the company

Cohere is a leading security-first enterprise AI company, building frontier foundation models and end-to-end AI products for real-world business problems. It is a global team co-headquartered in Toronto and San Francisco, with offices in London, New York City, Montreal, Seoul, Germany and Paris.

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