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Benefits & Perks
•Professional development budget
•Generous paid time off and holidays
•401(k) matching
•Team events and activities
•Learning
Required Skills
Python
JavaScript
TypeScript
About Us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
Size: 10000+ employees
Industry: Technology, Information Technology, Software, Consumer Goods & Services
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.
At Apple, we strive to make great products that empower people and improve their lives. We believe recent breakthroughs in AI/ML and robotics have the potential to unlock new experiences that were never possible before, and are looking for talented robotics algorithm engineers to realize that mission by expanding the capabilities of Apple products and platforms.
Description
As a member of the team, you'll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple products. This position requires a self-motivated algorithm engineer with strong technical and interpersonal skills to handle responsibilities including:","responsibilities":"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
Preferred Qualifications
Strong proficiency with classical robotic algorithms (optimization, graph search, etc.)
Strong applied math background (e.g., graphics, vision, optimization, controls, or planning)
Familiarity with the full robotics stack (controls, perception, motion planning, etc.)
Familiarity with Swift and Apple developer tools
Minimum Qualifications
MS/PhD in Computer Science, Math, Robotics 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
Proficiency with modern ML approaches (LLMs, Diffusion Models, etc.) as well as traditional ML methods (Linear Regression, Decision Trees, etc.)
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 .
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Client-provided location(s): Cupertino, CA
Job ID: apple-200630175-0836_rxr-660
Employment Type: OTHER
Posted: 2026-01-07T19:12:55
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Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Industrial Designer L2
0 reports
$320,450
total / year
Base
$128,180
Stock
$160,225
Bonus
$32,045
$224,315
$416,585
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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