Jobs
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
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
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
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