Robot ML Engineer

Role Number: 200677453-0836

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something — you'll add something.

Description

As a member of the team, you’ll have the opportunity to work with a group of highly skilled engineers and scientists to bring new experiences to Apple products. This position requires a self-motivated robotics engineer with strong technical and interpersonal skills to handle responsibilities including:

• Designing and implementing AI/ML systems to solve real-world problems
• Evaluating and debugging complex AI systems
• Integrating intricate AI systems into a larger software stack

Minimum Qualifications

• MS/PhD in Computer Science, Electrical Engineering, Robotics, Math or related field

• Strong software engineering background

• Ability to break down large features and implement practical solutions

• Curiosity about new technologies, flexibility, and openness to ambiguity

• Strong proficiency with robot planning / decision making (e.g. reasoning under uncertainty, POMDPs, intent prediction, etc.)

Preferred Qualifications

• Strong proficiency with modern ML approaches (LLMs/VLMs/VLAs, Diffusion Models, etc.)

• Strong proficiency with classical robotic algorithms (optimization, graph search, etc.)

• Familiarity with the full robotics stack (controls, perception, motion planning, etc.)

• Familiarity with Swift and Apple developer tools

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.