18:I[34901,["/_next/static/chunks/1q_xs299ft_73.js","/_next/static/chunks/1hsg494-jz4os.js","/_next/static/chunks/1a25lc5cxtp8a.js","/_next/static/chunks/08v7mhpebw2l_.js"],"JobTable"] 19:T1c51,

Who are we?

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.

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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why this role?

Ship state of the art models to production.

Design and implement novel research ideas.

Build elegant training/deployment pipelines.

Join us at a pivotal moment, shape what we build and wear multiple hats as an intern!

Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage

Please Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term.

As a Machine Learning Intern, you will:

Design, train and improve upon cutting-edge models.
Help us develop new techniques to train and serve models safer, better, and faster.
Train extremely large-scale models on massive datasets.
Explore continual and active learning strategies for streaming data.
Learn from experienced senior machine learning technical staff.
Work closely with product teams to develop solutions.

You may be a good fit if you have:

Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
Experience using large-scale distributed training strategies.
Familiarity with autoregressive sequence models, such as Transformers.
Strong communication and problem-solving skills.
A demonstrated passion for applied NLP models and products.
Bonus: experience writing kernels for GPUs using CUDA.
Bonus: experience training on TPUs.
Bonus: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

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.

How and Where We Work:

Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

We 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, and we will work together to meet your needs.

We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

1a:T209f,

Who are we?

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 are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why this role?

To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.
Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.

As a Cohere Research Intern, you will:

Conduct cutting-edge machine learning research, building and training large language models.
Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.
Disseminate your research results through the production of publications, datasets, and code.
Contribute to research initiatives that have practical applications in Cohere’s product development.

You may be a good fit if you:

Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.
Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period.
Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.
Are familiar with autoregressive sequence models, such as Transformers.
Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly.
Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.
Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.
Have previous experience in building systems based on machine learning and deep learning techniques.
Demonstrate passion for applied NLP models and products.

Preferred Qualifications:

Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
Proven ability to tackle analytical problems using quantitative methodologies.
Proficiency in handling and analysing complex, high-dimensional data from various sources.
Experience in applying theoretical and empirical research to real-world problem-solving.

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.

How and Where We Work:

Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

1b:T1b95,

Who are we?

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 are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

Why this role?

This role is for students who are excited about building the next generation of machine learning models and NLP products. Our SWE roles can cover creating datasets for machine learning, scaling the pods to serve our API, or even building out new security features on our platform. We don't distinguish much between interns and full-time employees, and you’ll have plenty of opportunities to push code to production. You'll have full autonomy and ownership over high-impact work, and will be backed by the support of an incredible team or leaders & mentors.

Join us at a pivotal moment, shape what we build, and wear multiple hats!
We're currently hiring for multiple teams and roles, including Frontend, Backend, Full-stack, and Infrastructure roles. We'll take your interests & experience into account throughout the application process.
Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage.

Please Note: To be eligible for this position, you should be currently enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op, or research work term.

As a Software Engineering Intern, you will:

Ship delightful experiences for our user-facing products, meticulously crafting code for browsers or server code.
Build features for the API platform that directly impact users.
Design and implement robust data pipelines (crawlers, storage, filters).
Design and implement scalable services or infrastructure for machine learning development.
Build internal tooling (CI/CD, dev utilities) to move faster together.
Build tech writing skills through maintaining and contributing to technical documentation, both internal and external facing.
Keep up with the cutting edge and adopt new technologies to improve performance and reliability across Cohere.

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.

How and Where We Work:

Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
For those not near an office: a co-working benefit so you can work alongside others in your city.
Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.

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Role	Company	Location	Season	Posted
Machine Learning Intern/Co-op (Winter 2027)	Cohere	CanadaRemote	Winter 2027	3 months ago
Research Internship (Fall, Winter 2026)	Cohere	CanadaRemote	Winter 2026	4 months ago
Software Engineer Intern (Fall / Winter 2026)	Cohere	CanadaRemote	Winter 2026	4 months ago