Machine Learning Intern/Co-op (Winter 2027)
Cohere · Canada · Europe · United States · United Kingdom
CHECKED 1H AGO
Frontier labremoteintern
At a glance
Highlights
- Ship state-of-the-art foundation models to production for enterprises.
- Design and implement novel research ideas to improve model capabilities.
- Train extremely large-scale models on massive datasets.
What they offer
- Weekly lunch stipend and daily lunch program in office
- Full health and dental benefits including mental health budget
- RRSP matching, 401K, Pension Scheme
- 100% parental leave top-up for up to 6 months
- Annual enrichment, education and learning benefits
- 6 weeks of paid vacation
- $500 home office stipend and co-working benefit
Ideal candidate
A current post-secondary student passionate about applied NLP and frontier AI, eager to ship research to production and learn from senior researchers while solving real-world enterprise problems.
Requirements
- Currently enrolled in a post-secondary program and available for a full-time 3-6 month internship, co-op or research work term
- 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
- Demonstrated passion for applied NLP models and products
- remote policy
- Remote-friendly with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul; co-working benefit for those not near an office.
- hiring process
- Recruitment process will begin in upcoming weeks with application review and assessment; suitable candidates will be contacted to discuss opportunity and advance to next stage. AI-enabled tools may be used for initial screening.
Lab profile
About Cohere
Security-first enterprise AI company building frontier foundation models for business applications.
What they build
- Command foundation models
- Embed models
- Rerank models
Known for
- Security-first enterprise AI
- Frontier model training and deployment
- Business-focused end-to-end products
Key facts
- Founded in 2019
- Headquartered in Toronto, Canada