Cohere

Research Scientist, Cohere Labs

7.0/10
Cohere
Not specified
Remote
mid
about 4 hours ago
AI SummaryVerified by Aipplify AI

The vacancy is strong in responsibilities and requirements but lacks specific compensation and tech stack details.

AI quality score7.2 / 10

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Overview

Join Cohere Labs as a Research Scientist to drive high-impact AI research. Collaborate globally and explore ambitious questions in machine learning while contributing to the future of AI. Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

What you'll do

As a Senior Research Scientist at Cohere Labs, you’ll drive an independent, high-impact research agenda on frontier topics in AI. You’ll have the freedom to ask ambitious questions, explore the unknown, and publish your findings openly. We’re particularly excited by work that not only advances science, but also engages with the societal implications of machine learning.

FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS

  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
  • Full health and dental benefits, including a separate budget for mental health.
  • RRSP matching, 401K, Pension Scheme.
  • 100% Parental Leave top-up for up to 6 months, for either parent.
  • Annual enrichment benefits:
  • Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
  • Education & learning stipend for conferences, courses, and coaching.
  • 6 weeks of paid vacation (30 working days!)
  • Budget for traveling to other offices if you are remote, plus an annual company offsite.

You may be a fit if you

  • Have a PhD (or equivalent research experience) with a strong track record of publications in ML, AI, statistics, or related fields.
  • Bring expertise or deep curiosity in areas such as: efficiency, optimization, reasoning, multimodality, agentic systems, human–AI collaboration.
  • Have solid machine learning and NLP fundamentals, with experience in shaping and executing original research.
  • Enjoy collaborating across disciplines and geographies.
  • Care about mentoring and supporting the next generation of researchers.
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