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Research Scientist - LLM Efficiency

Apple· Machine Learning and AI
Apply on company site
Hybrid (Zurich)Full-timePosted 3mo ago

About the role

Research scientist/engineer role focused on efficiency of frontier models (LLMs and diffusion models). Join a world-class team to design, train, and evaluate models, publish research, and collaborate with Apple product teams to ship research-backed innovations.

Responsibilities

  • Designing, training, and adapting frontier models to improve efficiency and performance.
  • Designing and conducting empirical studies to better understand frontier models.
  • Developing prototypes to demonstrate the effectiveness of the models and algorithms developed.
  • Engaging with the academic community by publishing papers and presenting your work.
  • Collaborating with product teams across Apple to ship research.

Qualifications

  • Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.
  • A publication record at relevant conferences, such as NeurIPS, ICML, ICLR, and COLM.
  • Comfort working across the entire ML research stack, from low-level systems programming to high-level algorithm development.
  • Solid software engineering skills and experience working with complex systems. Fluency in Python.
  • Expertise in ML algorithms and best practices for working with deep learning systems.
  • Proficiency with ML modeling frameworks such as PyTorch and JAX.
  • A bachelor's, master's, or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent academic or professional experience.

Skills

Required:Prototype development (state-of-the-art)Academic publishingSystem-level ML engineeringPythonML frameworks

Benefits

  • Accessibility and inclusion commitments; accommodation for applicants who need it.
Last updated Jul 24, 2026. Interested? Apply on the company site.

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