SUMMARY

Posted: Jan 23, 2025
Weekly Hours: 40
Role Number:200587995
Are you interested in contributing to delivering amazing Generative AI experiences that will touch the lives of billions of people? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for an ML Engineer who is passionate about translating expertise in ML and Generative AI into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for the Research, Development and Deployment of the core platform that powers Apple Intelligence on device and on private compute cloud - adapters, speculative decoding, guided generation to name a few. Our team is responsible for underpinning all the Apple Intelligence features we shipped to our customers including Writing Tools, Notification Summaries, ChatGPT integration, Siri and more Our team has a great mix of talent across Machine Learning and Software Engineering. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple!

DESCRIPTION

As a member of this premier team, you will work on the intersection of Machine Learning and Software Engineering with an emphasis on recent developments in Generative AI The position would be ideal for candidates proven hands-on experience with Generative AI inference, prompt optimizations, RAG, decoding strategies and other related areas. You will collaborate closely with several engineering teams at Apple to power exciting Apple Intelligence features and ship them to our customers.

MINIMUM QUALIFICATIONS

• Experience writing production software (Swift, C/C++, Obj-C, Python)
• Strong fundamentals in Machine learning, speech processing, speculative decoding
• B.S, M.S. or PhD in Computer Science or a related field
• 3+ years experience in relevant roles

PREFERRED QUALIFICATIONS

• Hands-on experience in using open-source ML toolkits, e.g., PyTorch, Tensorflow
• Hands-on experience with building Generative AI inference stacks
• Excellent communication and organizational skills

Please refer the Job description for details