Job Description
Summary
The SUN team is seekeing a technical lead in ML software engineering. The primary responsibilities associated with this position range from algorithm design and implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch.
Here are a selection of relevant Apple Machine learning Blogs and WWDC presentations:
https://machinelearning.apple.com/research/on-device-scene-analysis
https://machinelearning.apple.com/research/salient-object-segmentation
https://machinelearning.apple.com/research/panoptic-segmentation
https://developer.apple.com/videos/play/wwdc2019/222/
https://developer.apple.com/videos/play/wwdc2019/225/
Description
Our team contributes to a variety of shipping workflows you may already regularly use, including: Apple Intelligence, Photos Search, Curation, Memories, Intelligent Autocrop, Visual Captioning for Accessibility, Federated Learning on visual content, Real-time Classification & Saliency in Camera, Semantic Segmentation in Camera, and several on-device backbones across the system. Further, several of our projects are surfaced to third party developers through Vision & CoreML. Shipping APIs include image tagging, image similarity, saliency estimation and prints for transfer learning.
IN THIS ROLE YOU WILL:
- Lead and guide in the development of our production framework that exposes ML core technologies to clients across Apple and to third party developers.
- Work closely with Machine learning researchers, hardware teams, user experience/design teams, etc in order to ensure these ML core technologies run as efficiently, and accurately as possible across a variety of Apple platforms (iOS, mac OS, vision OS, etc).
- Iterate with multiple cross functional teams as we refine various user experiences and strive to address meaningful user problems as innovatively and inclusively as possible.
Minimum Qualifications
- 5+ years of industry experience with proven leadership in framework development
- Ability to design/implement flexible APIs that will expose machine learning algorithms to clients across Apple platforms
- Proficient in coding in C++ and/or Objective C
- Proven experience with hands-on software engineering fundamentals
- Experience with multiple modalities (image, text, audio, etc)
- Proven prototyping skills
- Understanding of the unique challenges associated to the transition of a prototype into a final product
- Familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
Preferred Qualifications
- Comfortable presenting research to large audiences with the ability to work hands-on in multi-functional teams
- Experience with OS X and iOS development tools and familiarity with GPU programming is desired
- Familiarity with Machine Learning algorithms is desired
- B.S. or M.S in Computer Science or a related field (mathematics, physics or computer engineering); or equivalent experience.