This position is no longer available
Remote (Global)

Cohere was looking for a Research Scholar

Cohere is looking for a Research Scholar to join the Cohere Labs Scholars Program, an 8-month, full-time research apprenticeship. You will work on solving complex machine learning problems through fundamental research, with a goal to publish papers or open-source code.

What You'll Do

  • Collaborate with the Cohere engineering team on machine learning and natural language processing research projects.
  • Contribute to the advancement of meaningful scholarship in machine learning and natural language processing.
  • Work on frontier AI problems, pushing your research skills to new levels.

What We're Looking For

  • A strong engineering background demonstrated by contributions to open source, past work experience, or a portfolio.
  • Passion for tackling open-ended problems.
  • Strong communication and problem-solving skills.
  • Grit and comfort with pushing through iteration and failure.

Team & Environment

This program pairs aspiring researchers with an outstanding engineering team.

Benefits & Compensation

  • Weekly lunch stipend, in-office lunches & snacks.
  • Full health and dental benefits, including a separate budget for mental health.
  • 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK.
  • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement.
  • 6 weeks of vacation.

Work Mode

This role is remote-flexible. Cohere has offices in Toronto, New York, San Francisco, and London and provides a co-working stipend.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities.

Required Skills
Machine LearningNLPResearchDeep LearningPytorchTensorFlowStatistical AnalysisCommunicationProblem Solving
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Cohere
Cohere trains and deploys frontier AI models for developers and enterprises building systems for content generation, semantic search, RAG, and agents.
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Posted 10 months ago