Skip to content
Cohere
  • ProductsProducts
  • SolutionsSolutions
  • ResourcesResources
  • BlogBlog
  • ResearchResearch
  • CompanyCompany
Sign in
Request a demo

Platform

  • North

    Enterprise-ready AI for business

  • Compass

    An intelligent search and discovery system to surface business insights

Models

  • Command

    New

    Generative language models

  • Transcribe

    New

    Speech recognition model

  • Embed

    Search and discovery model

  • Rerank

    Semantic search ranking

Models Overview

Product

  • Products Overview

  • Total Cost of AI Ownership

  • Pricing

Featured

Command

Deploy

  • Model Vault

    Dedicated model inference platform

  • Private Deployments

    On-prem or isolated VPCs

  • Security

    Protect your data at every stage

See deployment options

By Industry

  • Financial Services

  • Public Sector

  • Technology

  • Telecommunications

  • Energy and Utilities

  • Healthcare and Life Sciences

  • Manufacturing

Featured

Model Vault

Insights

  • Customer Stories

For Developers

  • Developers

  • Models Overview

  • Docs

  • Discord

  • LLM University

Connect

  • Partners

  • Events

  • Webinars

  • Merch Store

Featured

How CoreWeave used Cohere North to transform its customer support in 90 days
  • Blog

    The latest news, launches, and insights

Read more

  • Cohere and the University of Toronto partner to advance responsible AI adoption at scale
  • Hardware-aware dynamic speculative decoding
  • Meet Cohere Transcribe Arabic

Research

  • Cohere Labs

    Cohere’s ML research lab

Explorations

  • Future(s) of Work

    How will AI change the way we work?

  • Aya Models

    Multilingual AI at scale

  • All Papers

Initiatives

  • Research Scholars

    Finding the new generation of ML talent

  • Open Science Community

    Championing global, open science

  • Catalyst Grants

    Supporting impactful ML endeavors

Resources

  • Blog

  • Hugging Face

  • Events

Featured

The future of work debate has an evidence problem
  • About

  • Careers

  • Newsroom

Cohere
Sign in
Request a demo

Platform

  • North

    Enterprise-ready AI for business

  • Compass

    An intelligent search and discovery system to surface business insights


Models

  • Command

    New

    Generative language models

  • Transcribe

    New

    Speech recognition model

  • Embed

    Search and discovery model

  • Rerank

    Semantic search ranking

Models Overview


Product

  • Products Overview

  • Total Cost of AI Ownership

  • Pricing


Featured

Command

Deploy

  • Model Vault

    Dedicated model inference platform

  • Private Deployments

    On-prem or isolated VPCs

  • Security

    Protect your data at every stage

See deployment options


By Industry

  • Financial Services

  • Public Sector

  • Technology

  • Telecommunications

  • Energy and Utilities

  • Healthcare and Life Sciences

  • Manufacturing


Featured

Model Vault

Insights

  • Customer Stories


For Developers

  • Developers

  • Models Overview

  • Docs

  • Discord

  • LLM University


Connect

  • Partners

  • Events

  • Webinars

  • Merch Store


Featured

How CoreWeave used Cohere North to transform its customer support in 90 days
  • Blog

    The latest news, launches, and insights

Read more


Cohere and the University of Toronto partner to advance responsible AI adoption at scale
Hardware-aware dynamic speculative decoding
Meet Cohere Transcribe Arabic

Research

  • Cohere Labs

    Cohere’s ML research lab


Explorations

  • Future(s) of Work

    How will AI change the way we work?

  • Aya Models

    Multilingual AI at scale

  • All Papers


Initiatives

  • Research Scholars

    Finding the new generation of ML talent

  • Open Science Community

    Championing global, open science

  • Catalyst Grants

    Supporting impactful ML endeavors


Resources

  • Blog

  • Hugging Face

  • Events


Featured

The future of work debate has an evidence problem
  • About

  • Careers

  • Newsroom

Develop your research skills

Applications for the Scholars Program are currently closed but consider joining our Open Science community to collaborate with our team and community.

Join us
Sign up for our newsletter
Cohere
  • North

    Compass

    Product Overview

  • Command

    Transcribe

    Embed

    Rerank

    Aya

    Model Overview

    Customization

    Pricing

  • Financial Services

    Public Sector

    Telecommunications

    Technology

    Energy and Utilities

    Healthcare and Life Sciences

    Manufacturing

    Solutions Overview

  • Model Vault

    Private Deployments

    Security

    Deployment Options

  • Blog

    Customer Stories

    Developers

    Documentation

    LLM University

    Help Center

  • Research

    Partners

    Events

    Webinars

  • About

    Careers

    Newsroom

  • Legal Center

    Trust Center

    Privacy Policy

    Terms of Use

Platforms

  • North

  • Compass

  • Product Overview

Models

  • Command

  • Transcribe

  • Embed

  • Rerank

  • Aya

  • Model Overview

  • Customization

  • Pricing

Industries

  • Financial Services

  • Public Sector

  • Telecommunications

  • Technology

  • Energy and Utilities

  • Healthcare and Life Sciences

  • Manufacturing

  • Solutions Overview

Deployment

  • Model Vault

  • Private Deployments

  • Security

  • Deployment Options

Resources

  • Blog

  • Customer Stories

  • Developers

  • Documentation

  • LLM University

  • Help Center

Connect

  • Research

  • Partners

  • Events

  • Webinars

Company

  • About

  • Careers

  • Newsroom

Legal

  • Legal Center

  • Trust Center

  • Privacy Policy

  • Terms of Use

Platforms

  • North

  • Compass

  • Product Overview

Models

  • Command

  • Transcribe

  • Embed

  • Rerank

  • Aya

  • Model Overview

  • Customization

  • Pricing

Industries

  • Financial Services

  • Public Sector

  • Telecommunications

  • Technology

  • Energy and Utilities

  • Healthcare and Life Sciences

  • Manufacturing

  • Solutions Overview

Deployment

  • Model Vault

  • Private Deployments

  • Security

  • Deployment Options

Resources

  • Blog

  • Customer Stories

  • Developers

  • Documentation

  • LLM University

  • Help Center

Connect

  • Research

  • Partners

  • Events

  • Webinars

Company

  • About

  • Careers

  • Newsroom

Legal

  • Legal Center

  • Trust Center

  • Privacy Policy

  • Terms of Use

LinkedInXInstagramDiscordRedditYoutubeEmail

Cohere ©2026

  • English
  • 日本語
  • 한국어
  • Français
  • Deutsch

Cohere Labs Scholars Program

Charting new paths into ML research

Cohere Labs' Scholars Program provides emerging researchers the resources to push the limits of AI.

Collage of diverse people’s profile photos connected by dotted lines on a dark green digital background resembling data streams or circuitry, representing a connected global network.
Collage of diverse people’s profile photos connected by dotted lines on a dark green digital background resembling data streams or circuitry, representing a connected global network.

Status:

Closed

Next deadline:

Applications open annually, typically around August.

Eligibility:

  • Early-career researcher

  • Full-time availability

  • Demonstrated AI/ML curiosity

Benefits:

  • Tailored mentorship from ML experts

  • Access to large-scale experimental settings to conduct research

  • Competitive pay

About the program

The Scholars Program is a remote-first, full-time paid position that begins annually in January and takes place for 8 months. Scholars get matched with mentors based on areas of research and are key contributors to the Cohere Labs team.


Mentorship

Receive tailored mentorship from some of the best ML research and engineering experts in the world.


Tools

Access our large-scale experimental settings to conduct research exploring complex ML problems.


Ownership

Lead a matched project, applying your strengths to explore high-impact research questions.

The program experience

Scholars' papers

Browse all papers
  • Computemultilingual

    Making, not Taking, the Best of N

    Computemultilingual

    Oct 01, 2025

  • CodeData Efficiency

    Verification Limits Code LLM Training

    CodeData Efficiency

    Sep 26, 2025

  • multilingualMultimodal

    NeoBabel: A Multilingual Open Tower for Visual Generation

    multilingualMultimodal

    Jul 09, 2025

  • Language Modelsmultilingual

    When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs

    Language Modelsmultilingual

    Jun 19, 2025

  • multilingualLanguage Models

    One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual Tokenizers

    multilingualLanguage Models

    May 30, 2025

  • multilingualSafety

    Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning

    multilingualSafety

    Oct 15, 2024

  • Mixture of ExpertsScholars

    Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts

    Mixture of ExpertsScholars

    Aug 29, 2024

  • LanguageRobustness

    Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress

    LanguageRobustness

    Aug 28, 2024

  • Reinforcement LearningGenerative Models

    Back to Basics – REINFORCE for Human Feedback in LLMs

    Reinforcement LearningGenerative Models

    Feb 23, 2024

Where Scholars go next

Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo
Cohere Logo
Cohere Labs Logo
Nvidia Logo
Mosaic Research Logo
Stanford AI Logo
Carnegie Mellon Logo
University of Washington Logo
Princeton University Logo

Frequently asked questions

  • Applications open each year in August; the Scholars Program begins annually in January.

  • No. In fact, we are particularly interested in identifying candidates with strong engineering skills and demonstrated creative thinking but limited experience or no experience with published papers. You need not have to have previous research experience to apply.

  • We will consider the skills, interests, and background of our successful applicants alongside our research projects to make the best possible match between Scholar and project.

  • Yes, this is a full-time, paid position.

  • The Scholars Program will operate on a remote-first basis. We want to make this opportunity available to emerging ML researchers around the world. If you are based out of or visiting a city with a Cohere office you are welcome to come work with us in person.

  • The Scholars Program is structured as a remote-first opportunity, with no requirement to relocate.

  • The Scholars Program is structured as a rigorous full-time commitment. In an effort to keep up with the pace of advancement of ML research, we look forward to supporting Scholars dive into the research process as they work towards publication within the program period.

  • Yes–we welcome re-applications for future cohorts. We see this as a positive signal of your continued interest and commitment to the program.

Alumni spotlight

2025 Research Scholar

2025 Research Scholar

2025 Research Scholar

2023 Research Scholar

2024 Research Scholar

2024 Research Scholar

2023 Research Scholar

2023 Research Scholar

Cohere Labs - Scholars Program