Machine Learning Intern/Co-op (Winter 2026) at Cohere

Feedinkoo: Remote Jobs; United States; On-site; USD 41,000 - 58,000; Full time

Benefits offered by this job

Open and inclusive culture

Team on the cutting edge of AI

Weekly lunches; health and dental

Remote‑flexible offices in multiple US

Six weeks vacation

Job summary

Cohere is seeking a Machine Learning Intern to contribute to cutting‑edge model development and production deployment. You will train and refine state‑of‑the‑art NLP models, work on scalable training techniques, and collaborate with researchers, engineers, and product teams to deliver robust AI solutions.

The internship offers exposure to large‑scale systems, ongoing research, and mentorship from senior staff, with remote‑flexible offices across multiple major cities.

Qualifications

• Must be currently enrolled in a post-secondary program (full‑time).
• Internship duration: 3–6 months, full‑time or equivalent co‑op/research work term.
• Strong Python and ML framework skills required; experience with large‑scale training is a plus.

Responsibilities

• Design, train, and improve cutting‑edge models.
• Develop techniques for safer, faster model training and serving.
• Train very large-scale models on massive datasets.
• Explore continual and active learning strategies for streaming data.
• Collaborate with product teams to deliver AI solutions.

Skills

Python

ML frameworks

Distributed training

Transformers

Communication

Applied NLP

CUDA (bonus)

TPU (bonus)

Research mindset

Education

Post-secondary student

Tools

TensorFlow

TF-Serving

JAX

XLA/MLIR

CUDA

TPU

Job description

We are looking for a Machine Learning Intern to join Cohere’s team of researchers, engineers, and designers. The internship combines research and production work to help deploy state‑of‑the‑art models and develop novel training techniques.

Responsibilities

• Design, train, and improve cutting‑edge models.
• Help 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.

Qualifications

• 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.
• Bonus: experience writing kernels for GPUs using CUDA.
• Bonus: experience training on TPUs.
• Bonus: papers at top‑tier venues (NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

Eligibility

• 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.

Perks

• 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 mental health.
• 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, Paris and co‑working stipend.
• 6 weeks of vacation.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.