Robot ML Engineer

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
24 days ago
Freshness
Confirmed live 2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $214k
$135k most similar roles pay here $293k

This role pays more than 53% of similar roles. Most pay $189,737–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Robot ML Engineer

As a Robot ML Engineer, you will join a team of skilled engineers and scientists to develop new experiences for products. Your daily responsibilities involve designing and implementing AI/ML systems to solve real-world problems, evaluating and debugging complex AI systems, and integrating these intricate systems into a larger software stack. You will work with modern machine learning approaches including LLMs, VLMs, VLAs, and Diffusion Models, alongside classical robotic algorithms such as optimization and graph search. The role requires proficiency in robot planning and decision making, specifically reasoning under uncertainty, POMDPs, and intent prediction. You will also utilize the full robotics stack involving controls, perception, and motion planning while potentially utilizing Swift and Apple developer tools to solve complex technical challenges within the robotics domain.

What you'll do

  • Design and implement AI/ML systems to solve real-world problems.
  • Evaluate and debug complex AI systems.
  • Integrate intricate AI systems into a larger software stack.
  • Develop robot planning and decision-making algorithms, including reasoning under uncertainty and intent prediction.
  • Implement modern machine learning models such as LLMs, VLMs, VLAs, and Diffusion Models.
  • Apply classical robotic algorithms including optimization and graph search.
  • Develop solutions across the full robotics stack, including controls, perception, and motion planning.
  • Break down large features into practical software engineering solutions.

What we're looking for

  • MS/PhD in Computer Science, Electrical Engineering, Robotics, Math, or a related field.
  • Strong software engineering background.
  • Ability to break down large features and implement practical solutions.
  • Strong proficiency with robot planning and decision making, including reasoning under uncertainty, POMDPs, and intent prediction.
  • Proficiency with modern ML approaches such as LLMs, VLMs, VLAs, and Diffusion Models (preferred).
  • Proficiency with classical robotic algorithms like optimization and graph search (preferred).
  • Familiarity with the full robotics stack, including controls, perception, and motion planning (preferred).
  • Familiarity with Swift and Apple developer tools (preferred).

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