Cohere
Machine Learning Intern/Co-op (Winter 2027)
Canada +3 · Remote · Internship · Posted May 13, 2026
- Location
- Canada
Europe
United States
United Kingdom - Education
- Currently enrolled in a post-secondary program.
About the job
Design, train, and improve machine learning models and develop techniques and pipelines for safer, faster model training and serving.
What you'll do
- Design, train, and improve cutting-edge models, including training large-scale models on massive datasets.
- Develop techniques for safer, better, and faster model training and serving; explore continual and active learning for streaming data.
- Work with product teams to develop solutions and contribute novel research ideas.
What they ask for
- 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.
Nice to have
- Experience writing GPU kernels using CUDA or training on TPUs.
- Papers at top-tier venues, including NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, or EMNLP.
Tools
Python, Tensorflow, TF-Serving, JAX, XLA/MLIR, Transformers, CUDA, TPUs
AI focus
Applied machine learning and NLP: training and deploying large-scale models, improving model capabilities and safety, and exploring continual and active learning.
Model-written summary · the original posting is authoritative