Machine Learning Research Engineer
Sunnyvale, California, United States
Hardware
As a machine learning researcher on the Apple Vision Pro team, you will perform cutting-edge artificial intelligence research that will shape the future of spatial computing. Our mission is to leverage computer vision fused with other modalities to understand human interactions with the physical, social, and virtual worlds. Ever evolving, our current focus is on hand gesture recognition with data and power-efficient methods to enable Apple Vision Pro users with an effortless and natural interaction experience.
We are looking for a candidate who is recognized as an inspiring leader in the field and has proven strong ability in developing machine learning algorithms for computer vision problems. You will be part of a community of interdisciplinary researchers and engineers who are passionate about pushing the boundaries of what is possible with AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day.
Key Qualifications
- Domain expertise in computer vision
- Strong mathematical background in linear algebra and statistics.
- Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, AAAI, SIGGRAPH).
- Proficient in Python and C/C++; CUDA or other GPGPU is a plus.
- Expertise with at least one deep learning framework, for example PyTorch, TensorFlow, or Jax
- Strong interpersonal skills and ability to collaborate in a diverse environment
Description
Work on some of the most high-reaching technical problems on data and compute efficient machine learning and spatial AI
Research novel AI solutions directly impacting Apple products
Collaborate with elite machine learning researchers and engineers to bring research ideas to production
Have the opportunity to and present your work in world-class scientific venues in machine learning
Provide technical mentorship and guidance
Education & Experience
BS and a minimum of 3 years relevant industry experience