TL;DR

Machine Learning Intern (AI Engineering): Design, train, and improve cutting-edge AI models with an accent on large-scale model training, novel research implementation, and deployment pipelines. Focus on developing state-of-the-art NLP models, distributed training strategies, and continual learning techniques.

Location: Remote, open to candidates in Canada, United States, Europe, and United Kingdom

Company

%hirify_global% is a leading AI company focused on training and deploying frontier models for developers and enterprises to build advanced AI systems.

What you will do

Design, train, and improve state-of-the-art machine learning models.
Develop new techniques for safer, better, and faster model training and serving.
Train extremely large-scale models on massive datasets.
Explore continual and active learning strategies for streaming data.
Collaborate closely with product teams to develop AI solutions.
Learn from experienced senior machine learning engineers.

Requirements

Must be a student currently enrolled in a post-secondary program and available for a full-time 3-6 month internship or co-op.
Proficiency in Python and ML frameworks such as Tensorflow, JAX, TF-Serving, and XLA/MLIR.
Experience with large-scale distributed training strategies.
Familiarity with autoregressive sequence models like Transformers.
Strong communication and problem-solving skills.
English proficiency at least B2 level.

Nice to have

Experience writing GPU kernels using CUDA.
Experience training on TPUs.
Publications at top-tier ML conferences (NeurIPS, ICML, ICLR, etc.).

Culture & Benefits

Open and inclusive culture with a focus on diversity.
Work closely with a team on the cutting edge of AI research.
Free daily or weekly lunch stipends and in-office snacks.
Full health and dental benefits including mental health budget.
Remote-flexible work with offices in Toronto, New York, San Francisco, London, and Paris.
Paid vacation and parental leave top-up.