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Machine Learning Intern/Co-op

· Job Posted February 20, 2026
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Job Description

Join us on our mission and shape the future! Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

Job Responsibility

  • Design, train and improve upon 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
  • Ship state of the art models to production
  • Design and implement novel research ideas
  • Build elegant training/deployment pipelines

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
  • A demonstrated passion for applied NLP models and products
  • Student 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)

What we offer

  • An 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 your mental health
  • 100% Parental Leave top-up for up to 6 months
  • 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 and Paris, as well as a co-working stipend
  • 6 weeks of vacation (30 working days!)

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