AIML - Sr. Director of ML Engineering and Innovation at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large-scale Language Models, Artificial Intelligence, Instruction Tuning, Reinforcement Learning From Human Feedback, RLHF, Preference Optimization, Model Alignment, Roadmap Development, Research Agenda, Technical Mentorship, Foundation Models, Reward Modeling, Human Preference Learning, Model Evaluation, Generative Models

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

This senior leadership role involves driving Apple's post-training strategy across various Large Language Models (LLMs) and product areas, focusing on instruction tuning, RLHF, and model alignment to ensure safety and performance. The director will also drive roadmaps, propose research agendas to advance post-training methodologies, and provide technical mentorship to the team.