Machine Learning Intern/Co-op (Winter 2027)

Cohere is hiring a Machine Learning Intern/Co-op (Winter 2027) for a remote role open to applicants in Canada. Level rates it ; you can apply on Cohere.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
This is listed as a remote role.
The posting mentions TensorFlow, JAX and Python among its tools and skills.
Level classes it as an internship.
Cohere has 115 other open roles on Level.

AI in this role

Machine Learning Intern to design, train, and improve cutting-edge enterprise AI foundation models and deployment pipelines.

tensorflowjaxpythoncuda

nlpmachine-learningdeep-learningtransformersdistributed-training

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.

How we rate this

Machine Learning Intern/Co-op (Winter 2027) at Cohere rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Machine Learning Intern/Co-op (Winter 2027) is an open job at Cohere.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Canada and is marked remote.
The job was posted on May 13, 2026.
Seniority: intern.
Applications are handled by Cohere. Apply on Cohere

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPMachine learningDeep learningTransformersDistributed TrainingTensorFlowJAXPython

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where transformers was part of your work. What did you do?
Tell me about a project where distributed training was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: NLP, Machine learning, Deep learning, Transformers, and Distributed Training. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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