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トレンド企業

トレンド企業

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求人Cohere

Research Engineer

Cohere

Research Engineer

Cohere

Toronto

·

On-site

·

Full-time

·

1mo ago

福利厚生

Healthcare

Mental Health

Parental Leave

Meals

Remote Work

Learning

Gym

必須スキル

Python

PyTorch

Machine Learning

Deep Learning

Distributed Training

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Cohere Labs is the dedicated research arm of Cohere. Our mission is to push machine learning forward through open, collaborative research and hands-on experimentation. We work on frontier problems in NLP and AI while creating space for researchers and engineers from different backgrounds to contribute, learn, and grow.

We care about building things that are both thoughtful and useful, from new methods and datasets to tools that make research more accessible. Our team values curiosity, ownership, and practical impact over hype.

Why join Cohere Labs?

Cohere Labs brings together researchers and engineers to explore ambitious ideas and turn them into real systems. We focus on advancing machine learning while expanding access to applied research training and global collaboration.

We pursue this mission in two ways:

  • Creating open, collaborative research spaces where engineers and researchers work side-by-side on ambitious ML problems.

  • Expanding access to applied research training, helping early-career engineers grow into strong research contributors.

About the role

We’re looking for Research Engineers who enjoy getting their hands dirty: building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems.

This is a highly practical role. You’ll work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports our research programs.

You don’t need to have everything figured out yet. We care more about curiosity, strong fundamentals, and a willingness to learn quickly in a fast-moving research environment.

You may be a fit if you:

  • Have a strong engineering background in machine learning, NLP, or related areas (through a Master’s degree, industry experience, or equivalent hands-on work).

  • Enjoy writing clean, reliable code and building systems that others can use and extend.

  • Are comfortable experimenting, running ablations, analyzing results, and iterating quickly.

  • Have experience with deep learning frameworks and model optimization techniques (Py Torch, distributed training, RLHF, finetuning, evaluation frameworks)

  • Like collaborating closely with researchers and translating ideas into practical implementations.

  • Are excited to grow your research instincts while staying grounded in engineering excellence.

At Cohere Labs, research engineers are not just support roles. They are core contributors who help define how ideas become reality. If you want to work on meaningful problems, learn fast, and help build tools that shape the future of AI, we’d love to hear from you.

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

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. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

🤝 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!)

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応募クリック数

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模擬応募者数

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スクラップ

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Cohereについて

Cohere

Cohere

Series C

Cohere Inc. is an American-Canada-based international technology company focused on artificial intelligence. Cohere specializes in large language models and AI products for regulated industries, particularly the finance, healthcare, manufacturing, and energy fields, as well as the public sector.

201-500

従業員数

Toronto

本社所在地

$2.2B

企業価値

レビュー

2.4

3件のレビュー

ワークライフバランス

2.0

報酬

3.0

企業文化

1.5

キャリア

2.5

経営陣

1.2

15%

友人に勧める

良い点

Comprehensive and challenging assessment process

Well-known company in the industry

Initially appeared as attractive opportunity

改善点

Unprofessional hiring managers

Toxic work environment

Poor management and leadership

給与レンジ

13件のデータ

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Junior/L3 · Data Analyst, Data Management

1件のレポート

$117,173

年収総額

基本給

$90,100

ストック

-

ボーナス

-

$117,173

$117,173

面接体験

1件の面接

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Take Home Assessment

3

Technical Interview

4

Team Interview

5

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design