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Internship - Machine Learning Research

Apple· Machine Learning and AI
Apply on company site
Hybrid (Paris)internshipPosted 1mo ago

About the role

PhD/MSc students in final years will engage in foundational machine learning research, solving curiosity-driven projects, and may publish in top-tier venues. The internship involves identifying research opportunities, reviewing state-of-the-art methods, prototyping, large-scale experiments, and potentially open-sourcing code and publications.

Responsibilities

  • Identify promising research opportunities and reviewed state-of-the-art methods and literature
  • Craft novel approaches and implement them as code prototypes
  • Plan and run large-scale experiments across multi-node, multi-GPU systems
  • Write a paper and contribute to submission processes
  • Collaborate with ML researchers and engineers, potentially with colleagues outside Paris (Europe and the US)
  • Publish new findings as open source code and publications (where applicable)

Qualifications

  • Students currently pursuing a MSc or a PhD in Computer Science, Machine Learning or equivalent
  • Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ACL, EMNLP, etc)
  • Hands-on experience with deep learning toolkits such as JAX, PyTorch or MLX
  • Strong teamwork skills to operate within a large group of researchers
  • Strong mathematical skills in linear algebra, probability, optimization and statistics
  • Ability to formulate a research problem, with strong prototyping/coding skills
  • Ability to design experimental plans and communicate progress

Skills

Required:Deep learning toolkits (e.g., JAX, PyTorch, MLX)Publication track recordMathematical foundations (linear algebra, probability, optimization, statistics)
Last updated Sep 18, 2026. Interested? Apply on the company site.

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