Apple10.04.26
AI SCORE 8.5

Machine Learning Research Scientist - Health AI/​ML Team

$201K–$367K/year

About the Role

Join our Health AIML team as a Machine Learning Research Scientist to work on cutting-edge technologies that impact millions of users. This remote Machine Learning Research Scientist position offers you the opportunity to develop next-generation multimodal models that enhance health and fitness experiences.

What You'll Do

  • Lead research into health and fitness representation models and multimodal models.
  • Design, prototype, and scale up new architectures to improve model intelligence.
  • Execute and analyze experiments autonomously and collaboratively.
  • Study, debug, and optimize model performance and computational performance.
  • Contribute to training and inference infrastructure.
  • Guide technical and architectural decisions.

Requirements

  • PhD in Computer Science/Engineering, Machine Learning, Statistics, Mathematics, or related field.
  • Industry work experience in machine learning and AI.
  • Experience contributing to major LLM training runs.
  • Proven track record of publishing state-of-the-art research.
  • Strong skills with deep learning frameworks such as PyTorch, JAX, or TensorFlow.

Nice to Have

  • Experience in training and evaluating multimodal models.
  • Understanding of time-series modeling, self-supervised learning, and cross-modal training.
  • Ability to evaluate and improve deep learning architectures independently.
  • Motivated to safely deploy LLMs in the health and fitness space.

What We Offer

  • Base pay range between $201,300 and $367,400, depending on skills and experience.
  • Opportunity to become an Apple shareholder through stock programs.
  • Comprehensive medical and dental coverage.
  • Retirement benefits and educational reimbursement.
  • Discretionary bonuses or commission payments.
  • Relocation support for your move to the United States.
Why This Job8.5 of 10

This remote Machine Learning Research Scientist role at Apple offers a chance to work on innovative health technologies with a competitive salary and relocation support.

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