Senior Robot ML Engineer

Apple Inc

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Quick summary

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

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays less than 51% of similar roles. Most pay $191,537–$254,750 — the blue band above. At the midpoint, this role pays about $214k versus about $223k for comparable roles.

Based on 240 similar postings.

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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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Robot ML Engineer

As a Sr. Robot ML Engineer, you will join a team of highly skilled engineers and scientists to develop new experiences for Apple products. Your primary responsibilities include designing, implementing, and debugging complex AI and ML systems while integrating these intricate systems into a larger software stack. You will solve real-world problems by breaking down large features into practical solutions. The role requires proficiency with modern ML approaches such as LLMs, VLMs, VLAs, and Diffusion Models. Preferred skills include robot planning, reasoning under uncertainty, POMDPs, intent prediction, and classical robotic algorithms like optimization and graph search. You should also possess familiarity with the full robotics stack, including controls, perception, and motion planning, alongside experience with Swift and Apple developer tools.

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.
  • Break down large features into practical, implementable solutions.
  • Apply modern ML approaches including LLMs, VLMs, and Diffusion Models.
  • Implement robot planning and decision-making algorithms like POMDPs and intent prediction.
  • Develop classical robotic algorithms including optimization and graph search.
  • Work across the full robotics stack including controls, perception, and motion planning.

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 modern ML approaches such as LLMs, VLMs, VLAs, and Diffusion Models.
  • Strong proficiency with robot planning and decision making (preferred).
  • Strong 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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