Machine Learning Intern/Co-op (Winter 2027)

The role

You will design, train, and improve cutting-edge models. You will also develop techniques to train and serve models and work with product teams to develop solutions.

What you will do

• Design, train and improve upon cutting-edge models.
• Help 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.
• Ship state of the art models to production.
• Design and implement novel research ideas.
• Build elegant training/deployment pipelines.

Required qualifications

• 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.
• Must be a student currently enrolled in a post-secondary program.

Nice to have

• 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

• Weekly lunch stipend of $75/£75 or equivalent in your local currency
• 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
• 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
• Budget for traveling to other offices if you are remote
• Annual company offsite
• Daily lunch program, snacks, and regular community and social events for those in the office
• Co-working benefit for those not near an office
• $500 home office stipend

Before you apply

• Must 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
• May use AI-enabled tools to screen and assess applicants

About the company

Cohere is a security-first enterprise AI company that builds foundation AI models and end-to-end products. It is a global technology company headquartered in Toronto.