Cohere

Member of Technical Staff, MLE

Cohere

full-time

Posted on:

Location Type: Remote

Location: Singapore

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Job Level

Tech Stack

About the role

  • Contribute to the design and delivery of custom LLM solutions for enterprise customers.
  • Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies.
  • Build custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines (including RLVR), and data assets.
  • Develop SOTA modeling techniques that directly enhance model performance for customer use-cases.
  • Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks.
  • Work as part of Cohere’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to our enterprise customers.

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 modelsPythonCPTRLVRmodel tuningevaluation methodologiesdistributed traininginference pipelinesSOTA modeling techniques
Soft Skills
problem framingcollaborationownershipcomfort with ambiguityhumilityaction-orienteddesire to push state of the artstrong communicationcustomer focustransformative impact