Apple - Sunnyvale, CA

posted 8 days ago

Full-time - Mid Level
Sunnyvale, CA
Computer and Electronic Product Manufacturing

About the position

The Machine Learning Engineer position at Apple Vision Pro involves designing and implementing machine learning algorithms for various Apple products, particularly in the realm of spatial computing. The role emphasizes collaboration with cross-functional teams to integrate research into production frameworks and contribute to the development of innovative applications that enhance user experiences. The engineer will be responsible for writing clean, maintainable code and participating in architecture decisions and code reviews.

Responsibilities

  • Design and implement machine learning algorithms for Apple products.
  • Integrate research into production frameworks.
  • Collaborate closely with product teams before and after feature launch.
  • Align messaging and contribute to roadmaps with cross-functional teams.
  • Write clean, maintainable production code with appropriate documentation and tests.
  • Contribute to architecture decisions, design reviews, and peer code reviews.

Requirements

  • Strong programming skills in Python and/or C++ with 5+ years of experience in machine learning modeling and applied research.
  • Hands-on experience with building Deep Learning applications.
  • Proficiency in using ML toolkits such as PyTorch and TensorFlow.
  • Ability to drive early-stage research projects with risks and ambiguity.
  • Excellent problem-solving and analytical thinking skills.
  • Strong communication and collaboration skills in a cross-functional setting.
  • Ability to work hands-on with multi-functional teams.
  • Passionate about building extraordinary autonomous systems with Generative AI.

Nice-to-haves

  • Strong publication record at top conferences such as CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ACL, EMNLP.
  • Experience in neural rendering and 3D graphics.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.
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