Senior Machine Learning Software Engineer – SIML, ISE Full-time

Summary
Are you excited about Generative AI and Apple Intelligence? Are you passionate about safety in AI powered features that ship on 1.5B Apple products across the globe? Are you a skilled programmer who enjoys knowing how things work underneath the hood with machine learning technologies, and finds satisfaction in crafting well-designed software that runs efficiently?

Our Robustness and Safety AI (RSAI) team strives to apply cutting edge Machine learning in innovative and impactful ways to ensure ML technologies can be safely deployed to the real world. We are part of the System Intelligent and Machine Learning (SIML) group that provides foundational machine learning technologies with focus on AI and User safety. Our work serves the safety foundation for many Apple Intelligence experiences (Writing Tools, Image Playground, Genmoji, Image Wand, Apple Intelligence in Photos, etc).

The RSAI team is seeking a senior ML software engineering. The primary responsibilities associated with this position range from algorithm design and software implementation, ability to integrate research into production frameworks, and collaborating closely with product teams before and after feature launch. You will be working closely with machine learning experts on the team for building efficient software that is suitable for production deployments, with an eye towards power, memory and latency. You will be collaborating across teams at Apple to make a big influence on user experience!

For additional information about Safety for Apple Intelligence https://arxiv.org/pdf/2407.21075 (https://arxiv.org/pdf/2407.21075)

Description
The Robustness and Safety AI team is seeking a senior software/ML engineer with a consistent track record in shipping customer experiences. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams multi-functionally. Among the most important requirement would be a deep understanding of software fundamentals, and the ability to translate ML algorithms into production quality code. Solutions developed will demonstrate multi-modal inputs (visual, text, audio, etc.).

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, Watch 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.