Cohere

Member of Technical Staff – Agents Modeling

Cohere

full-time

Posted on:

Location Type: Remote

Location: New York • United States

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Job Level

Lead

Tech Stack

NumpyPythonPyTorch

About the role

  • Design and develop novel agentic solutions
  • Improve upon SOTA on hard agentic tasks
  • Research the next-generation of on-line learning-from-experience self-improvement
  • Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system
  • Work with an amazing team of researchers and engineers pushing the boundaries

Requirements

  • Have a PhD in computer science or related field or similar industry research experience
  • Strong software engineering skills
  • Proficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.)
  • Experience with LLMs and agentic frameworks
  • Experience with post-training LLMs (SFT, PEFT, or RL*)
  • Experience with building synthetic data generation pipelines
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
Pythonmachine learningpytorchnumpyLLMsagentic frameworkspost-training LLMssynthetic data generationSFTPEFT
Soft Skills
team collaborationresearchproblem-solvingcommunication
Certifications
PhD in computer science