Machine Learning Intern/Co-op (Spring 2026) at Cohere in Remote

Summary: Cohere is a company dedicated to scaling intelligence to serve humanity through the deployment of frontier models for AI systems. As a Machine Learning Intern, you will design and implement cutting-edge models, build training and deployment pipelines, and collaborate with product teams to develop innovative 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 Required Qualifications: - student 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 Preferred Qualifications: - 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) Required Skills: Python, TensorFlow, Distributed training Important Skills: Transformers Nice-to-Have Skills: NLP passion, CUDA, TPUs experience, Research papers, Communication skills, Problem-solving skills Internship Start Date: Start in 2026 Spring 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!)