Cohere is seeking a Member of Technical Staff, MLE to work on frontier models for developers and enterprises. The successful candidate will work directly with enterprise customers, design custom LLM solutions, and deliver production-ready models. Cohere is a team of researchers, engineers, designers, and more who are passionate about their craft.

Company: Cohere

Role: Member of Technical Staff, MLE

Location: San Francisco; Montreal; New York; Toronto (Remote)

Experience:

Strong ML fundamentals
Experience working with large-scale datasets and distributed training or inference pipelines
Demonstrated ability to meaningfully shape LLM performance

Key Skills:

Python
core ML/LLM frameworks
LLM architectures
tuning techniques (CPT, post-training)
evaluation methodologies

Role Focus: • Contribute to the design and delivery of custom LLM solutions for enterprise customers • Translate ambiguous business problems into well-framed ML problems • Build custom models using Cohere’s foundation model stack • Develop SOTA modeling techniques • Contribute improvements back to the foundation-model stack

Additional responsibilities:

Work as part of Cohere’s customer facing MLE team to identify high-value opportunities
Operate with an early-startup level of ownership

Other:

An open and inclusive culture and work environment
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris
6 weeks of vacation (30 working days)

Member of Technical Staff, MLE

Skills Required

Description

Experience:

Key Skills:

Additional responsibilities:

Other:

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