Job Details

Role Number: 200642961-0836

Summary

Would you like to play a part in shipping groundbreaking technology for large-scale language models and artificial intelligence? Join the AIML team at Apple! We interact with various engineering teams across Apple to build, research, and apply LLMs to power our products and impact millions of users.

As a senior leader, you will play a critical role in driving Apple's post-training strategy across various LLMs and product areas. This includes leading efforts in instruction tuning, reinforcement learning from human feedback (RLHF), preference optimization, and model alignment to ensure our models are helpful, safe, and performant in real-world applications. In this role, you'll drive roadmaps, propose your own research agenda to advance post-training methodologies, and directly shape the behavior and quality of Apple's generative models. You'll provide technical mentorship and guidance to the team, drive execution, and collaborate broadly across Apple.

Description

We believe the most interesting and impactful problems in AI arise at the intersection of research and real-world deployment — and post-training is where that intersection is sharpest. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in aligning and improving foundation models, including instruction following, reward modeling, human preference learning, and evaluation of model behavior across diverse product use cases. You will have opportunities to identify and develop novel post-training techniques that directly improve Apple products meaningfully improving the experience of millions of users.

Minimum Qualifications

• 5+ years of executive leadership experience

• Demonstrated expertise in bridging the gap between research and product innovation

• PhD, or equivalent practical experience, in Computer Science, or related technical field.

• Proven and consistent track record of forming partnerships to solve complex technical problems at scale, ideally for products with a global customer base

• MS/PhD in Machine Learning, Computer Science, or a related field

Preferred Qualifications

• Post Training expertise

• Web-scale information retrieval

• Human-like conversation agent

• Multi-modal perception for existing products and future hardware platforms

• On-device intelligence and learning with strong privacy protections

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .