Machine Learning Intern/Co-op (Winter 2027)

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!

Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage

Please Note: To be eligible for this position you should 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.

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.

You may be a good fit if you have

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