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AI Application Engineer

Apple

AI Application Engineer

Apple

San Diego, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health, dental, and vision coverage

Annual team offsites

Flexible PTO policy

Learning and development stipend

Required Skills

SQL

Python

PyTorch

About the Role

Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, please come and join us!

We are a multi-functional team focused on building platforms and tools that enhance the engineering design processes behind millions of Apple products—including i Phone, i Pad, Apple Watch, Air Pods, Vision Pro, and more. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale.

We are seeking a top-tier AI Application Engineer with strong architectural thinking, deep AI/ML knowledge, and robust software development skills to help design, build, and deploy intelligent systems powered by machine learning and large language models (LLMs).

In this role, you'll work at the intersection of applied AI and software engineering—translating ground breaking research into practical, scalable tools. You'll take ideas from feasibility studies and rapid prototypes to production-ready solutions with intuitive, high-quality user experiences. Your contributions will shape how engineering teams make faster, smarter decisions across many Apple hardware programs.

Responsibilities

  • Serve as a founding engineer to shape the project's technical foundation
  • Partner with hardware teams to define AI product features and scope
  • Benchmark, adapt, and integrate AI/ML models into existing software systems
  • Architect and implement the end-to-end software solution
  • Deploy and support AI tools for hardware engineering teams

Minimum Qualifications

  • BS and a minimum of 3 years relevant industry experience
  • Strong understanding of generative AI models, particularly large language models (LLMs)
  • Proficiency in Python
  • Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes

Preferred Qualifications

  • Hands-on experience developing AI-powered applications
  • Experience designing and deploying agentic AI systems
  • Extensive knowledge with popular LLMs such as Gemini, Claude, and GPT
  • Experience with ML frameworks (e.g., Py Torch, Tensor Flow, scikit-learn)
  • Demonstrated ability to bring innovative AI research into production systems
  • Hands-on experience with cloud services and containerization technologies
  • Additional experience in Java or C++ is a plus
  • Master's or PhD in Computer Science, Computer Engineering, or a related field

Equal Opportunity

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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About Apple

Apple

Apple

Public

A 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

L2 · Cybersecurity Analyst L2

0 reports

$169,000

total / year

Base

$67,600

Stock

$84,500

Bonus

$16,900

$118,300

$219,700

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