Cohere
Posted 144 days agoVerified live 2d ago
Machine Learning Intern/Co-op (Fall, 2026)
Brief overview
Remote
UndergradOr in progress
36 H-1B approvalsDept. of Labor
3 green cardsCertified filings
PythonTensorflowTF-ServingJAXXLA/MLIRLarge-scale distributed trainingAutoregressive sequence modelsTransformersCUDATPU trainingNLP modelsCommunicationProblem-solving
About the company
Coherecohere.com
Cohere is an enterprise AI firm developing secure and private AI technology to address real-world business challenges.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.36H-1B approved
97%approval rate
5new H-1B hires
3PERM certified
$245,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202313
20249
202512
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
20245
20252
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231
20252
Top sponsored roles
Member of Technical StaffMember of Technical Staff, Product EngineeringSoftware Quality Assurance Technical Lead Engineer
Sponsored employees from
India
Job description
Summary
Cohere is a company on a mission to scale intelligence to serve humanity through frontier models for AI systems. The Machine Learning Intern will design and implement research ideas, build training pipelines, and work closely with product teams to develop solutions.
Responsibilities
- 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
Skills
- Currently enrolled in a post-secondary program
- 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
- A demonstrated passion for applied NLP models and products
- Experience writing kernels for GPUs using CUDA
- Experience training on TPUs
- Papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
Qualifications
Must Haves
- Currently enrolled in a post-secondary program
- 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
- A demonstrated passion for applied NLP models and products
Nice to Haves
- Experience writing kernels for GPUs using CUDA
- Experience training on TPUs
- Papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
Benefits
- 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!)