Machine Learning Intern/Co-op (Winter 2027)

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Ship state of the art models to production. Design and implement novel research ideas. Build elegant training/deployment pipelines. Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! As a Machine Learning Intern, you will: 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.

Responsibilities

Ship state of the art models to production; Design and implement novel research ideas; Build elegant training/deployment pipelines; 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

Requirements

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; Demonstrated passion for applied NLP models and products; Currently enrolled in a post-secondary program; Available for a full-time 3-6 month internship, co-op, or research work term

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 local currency; Full health and dental benefits including separate budget for mental health; RRSP matching, 401K, Pension Scheme; 100% Parental Leave top-up for up to 6 months for either parent; Annual enrichment benefits including Arts & culture, fitness/wellness, quality time, workspace improvement credit, Education & learning stipend for conferences, courses, and coaching; 6 weeks of paid vacation (30 working days); Budget for traveling to other offices if remote, plus annual company offsite; Daily lunch program, plenty of 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