Cohere

Member of Technical Staff, Machine Learning Engineer

Cohere

full-time

Posted on:

Location Type: Remote

Location: CaliforniaUnited States

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Job Level

Tech Stack

About the role

  • Work directly with enterprise customers on problems that push LLMs to their limits.
  • Rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models.
  • Train and customize frontier models — not just use APIs.
  • Influence the capabilities of Cohere’s foundation models.
  • Operate with an early-startup level of ownership inside a frontier-model company.
  • Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes.

Requirements

  • Strong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions.
  • Fluency with Python and core ML/LLM frameworks.
  • Experience working with (or the ability to learn) large-scale datasets and distributed training or inference pipelines.
  • Understanding of LLM architectures, tuning techniques (CPT, post-training), and evaluation methodologies.
  • Demonstrated ability to meaningfully shape LLM performance.
  • A broad view of the ML research landscape and a desire to push the state of the art.
  • Bias toward action, high ownership, and comfort with ambiguity.
  • Humility and strong collaboration instincts.
  • A deep conviction that AI should meaningfully empower people and organizations.
Benefits
  • An open and inclusive culture and work environment
  • Work closely with a team on the cutting edge of AI research
  • Weekly lunch stipend, in-office lunches & snacks
  • Full health and dental benefits, including a separate budget to take care of your mental health
  • 100% Parental Leave top-up for up to 6 months
  • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
  • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
  • 6 weeks of vacation (30 working days!)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learninglarge language modelsPythondistributed traininginference pipelinesLLM architecturestuning techniquesevaluation methodologiescustom LLM solutionsproduction-ready models
Soft Skills
ownershipcollaborationproblem framingcomfort with ambiguitybias toward actionhumilityinfluencehigh technical bardesire to push state of the artadaptability