Machine Learning Engineer: Multimodal Sensor Fusion

Apple Apple · Big Tech · Sunnyvale, CA +1 · Machine Learning and AI

Machine Learning Engineer focused on multimodal sensor fusion for consumer products, involving deep learning models for edge deployment and real-time perception. The role spans research evaluation to production optimization for on-device inference.

What you'd actually do

  1. Leading the development of cutting-edge multimodal fusion algorithms and taking ideas from concept t shipping
  2. Driving cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs
  3. Partnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applications
  4. Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership
  5. Establishing coding standards, best practices, and technical strategies for your team

Skills

Required

  • PyTorch
  • Python development
  • deep learning frameworks
  • sensor fusion
  • software engineering

Nice to have

  • Ph.D. or M.S.
  • linear algebra
  • computational science
  • optimization
  • working with sensors and hardware
  • publishing in top tier AIML conferences

What the JD emphasized

  • shipping algorithms
  • publishing in top tier AIML conferences

Other signals

  • multimodal sensor fusion
  • deep learning models optimized for edge deployment
  • on-device inference
  • real-time perception