Machine Learning Engineer – Applied Reasoning and Knowledge Full-time

Summary
We’re looking for machine learning specialists to help shape the future of AI-driven system experiences across the Apple ecosystem. You’ll be joining a dynamic team that will develop novel ML techniques and applications, build ergonomic tools and infrastructure, rapidly iterate on prototypes, and deliver new product experiences. This is an exciting time to join and have impact across Apple’s entire product portfolio. If you’re a curious creator in the field of machine learning, we’d love to talk to you.

Description
Our team is seeking adept machine learning engineers who are both excited by creating machine learning driven user experiences and experienced in rapid prototyping using artificial intelligence. Work includes designing high-performance machine learning models and infrastructure in concert with designers, software/hardware engineers, and applied R&D teams.

You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, training models, and local, on-device model inference. The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes.

You will be successful on our team if you have a relentless curiosity and persistence to drive towards prototypes and novel implementations of ML as a group.