Machine Learning Intern/Co-op (Winter 2027)
Cohere
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Machine learningPythonTensorFlowNLPNetworking
- Work
- On-site in San Francisco · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python69%Machine learning62%TensorFlow13%NLP7%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 1, 2026 · still open
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About the Role
Cohere is seeking a Machine Learning Intern/Co-op for Winter 2027 to contribute to the development of cutting-edge foundation AI models and end-to-end products. This role offers the opportunity to ship state-of-the-art models to production, design and implement novel research ideas, and build elegant training/deployment pipelines. Interns will have the chance to shape Cohere's offerings and take on diverse responsibilities.
To be eligible for this position, you 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.
Key Responsibilities
- Design, train, and improve upon cutting-edge models.
- 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.
Requirements & Tech Stack
- 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.
- Experience training on TPUs.
- Publications at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
About Cohere
Cohere is a security-first enterprise AI company building foundation AI models and products to solve real-world business problems. The company is headquartered in Toronto with offices in London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.