Lead, Enterprise LLMs & Applied ML

Visa Hunt

San Francisco (CA)

Hybrid

USD 180,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Weekly lunch stipend
Health and dental benefits
RRSP matching / Pension scheme
Parental leave top-up
Office stipend for home working setup

Job summary

Cohere is seeking a Member of Technical Staff, Applied ML, to work with enterprise customers on pushing LLMs to their limits and delivering production-ready models. You will design custom solutions, leverage CPT recipes, and advance foundation-model capabilities.

You will lead technical design, mentor engineers, and collaborate across discovery, deployment, and post-deployment iteration, shaping the next generation of Cohere’s frontier models.

Qualifications

  • Strong ML fundamentals and problem framing for ML solutions.
  • Fluency with Python and core ML/LLM frameworks.
  • Experience with large-scale datasets and distributed pipelines.
  • Understanding of LLM architectures and tuning techniques.
  • Ability to shape LLM performance meaningfully.

Responsibilities

  • Lead the design and delivery of custom LLM solutions for enterprise customers.
  • Translate ambiguous business problems into ML problems with clear success criteria.
  • Build models using Cohere’s foundation stack, CPT recipes, and post-training workflows.
  • Develop state-of-the-art modeling techniques to improve customer use-cases.
  • Contribute improvements to the foundation-model stack and evaluation frameworks.
  • Mentor engineers and drive alignment across teams.

Skills

ML fundamentals
Python programming
LLM frameworks
Large-scale data handling
Model evaluation

Tools

CPT recipes
post-training pipelines
RLVR

Job description

Cohere is seeking a Member of Technical Staff, Applied ML, to work with enterprise customers on pushing LLMs to their limits and delivering production-ready models. You will design custom solutions, leverage CPT recipes, and advance foundation-model capabilities.

You will lead technical design, mentor engineers, and collaborate across discovery, deployment, and post-deployment iteration, shaping the next generation of Cohere’s frontier models.

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