Cohere
Machine Learning Intern/Co-op (Winter 2027)
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 4 months ago · Added 6 days ago
Been open since 4 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Europe
Timezone
US East
Contract
Full-time
Experience
Entry
Category
Data
This employer didn't state pay. Jobs like this usually pay around $135k–$230k a year, a typical range taken from 579 data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "Canada, Europe, United States, United Kingdom, Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
Requirements
- ·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.
Benefits
- ·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:
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Cohere, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 6d ago. Last checked 24 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $135k to $230k per year · You'll be taken to the employer's careers page.