Full Remote) Machine Learning Intern​/Co-op at Joinrs

Position Overview

Cohere, a leading AI research company, seeks a full‑time Machine Learning Intern/Co‑op to design, train, and improve cutting‑edge models while collaborating with product teams.

• Ship state‑of‑the‑art models to production.
• Design and implement novel research ideas.
• Build elegant training and deployment pipelines.
• Design, train, and improve cutting‑edge models.
• Help develop new techniques to train and serve models safely, 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.

• Proficiency in Python and ML frameworks such as Tensor Flow, TF‑Serving, JAX, and XLA/MLIR.
• Experience using large‑scale distributed training strategies.
• Familiarity with autoregressive sequence models, e.g., Transformers.
• Strong communication and problem‑solving skills.
• Demonstrated passion for applied NLP models and products.
• Bonus: experience writing GPU kernels with CUDA.
• Bonus: experience training on TPUs.
• Bonus: papers at top‑tier venues (NeurIPS, ICML, ICLR, etc.).

Students enrolled in a post‑secondary program, available for a full‑time 3‑6 month internship, co‑op, or research work term.

• Free daily lunch and weekly lunch stipend.
• Full health and dental benefits, including a mental‑health budget.
• Personal enrichment benefits for arts, culture, fitness, and well‑being.
• Remote‑flexible work with offices in Toronto, New York, San Francisco, London, and coworking stipends.
• Paid vacation (6 weeks for full‑time employees, 3‑4 weeks for interns).
• Parental‑leave top‑up in Canada, US, and UK (employees).

Cohere values and celebrates diversity and strives to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. If you require accommodations during the recruitment process, please submit an Accommodations Request Form.