Apple logo

AI Application Engineer

Apple

San Diego, CAJobSeen 1 day agoSeen in employer's feed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
No compensation found
Location
San Diego, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Apple’s Motion Sensing Hardware System team seeks an AI Application Engineer to build and deploy intelligent systems using machine learning and large language models. The role translates research into scalable engineering tools, from feasibility studies and prototypes through production-ready solutions. The engineer will work with sensing hardware teams to increase AI adoption and improve engineering design and system integration decisions across Apple hardware programs.

Skills & qualifications

RequiredNice to have

Skills

Generative AILarge Language ModelsPythonSoftware EngineeringModular DesignObject-Oriented DesignCross-Functional CollaborationDecision-Making Under UncertaintySelf-DriveProblem-SolvingAI Application DevelopmentAgentic AI SystemsEnterprise AI PlatformsSensing SystemsSignal ProcessingSensor FusionPyTorchTensorFlowScikit-LearnCloud ServicesContainerizationUser Interface Development

Qualifications

BS10 Years Relevant Industry Experience5+ Years Software Development Experience2+ Years AI Application ExperienceMaster's or PhD in Computer Science or Related Field or Equivalent Practical Experience

Full job description

Role Number: 200692523

Summary

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, come and join us!

The Motion Sensing Hardware System team is looking for an individual who will be focused on adopting and building platforms and tools that enhance the engineering design processes behind millions of Apple products, including iPhone, iPad, Apple Watch, AirPods, Vision Pro, and more. This is a unique opportunity to apply your AI/ML expertise and software development skills while working closely with sensing hardware engineering to bring real impact to the system integration process.

Description

We are seeking a seasoned 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). As our team is looking to increase AI adoption in our workflows, you’ll be self-driven in identifying gaps, receptive to enterprise AI solutions available across Apple, and ready to architect custom solutions where they fall short. In this role, you'll work at the intersection of applied AI and software engineering, translating cutting-edge 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.

Minimum Qualifications

  • BS and a minimum of 10 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 best practices

  • Proven ability to work with cross-functional teams and drive decision-making under uncertainty

  • Self-driven, with strong problem-solving skills and a passion for tackling new challenges in ambiguous, early-stage environments

Preferred Qualifications

  • 5+ years of software development experience, including 2+ years of hands-on experience developing AI-powered applications

  • Experience designing and deploying agentic AI systems

  • Experience adopting and integrating enterprise AI platforms across teams

  • Background in sensing systems (e.g., IMUs, pressure sensors, magnetic sensors, signal processing, sensor fusion) or hardware system integration

  • Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)

  • Demonstrated ability to bring state-of-the-art AI research into production systems

  • Hands-on experience with cloud services and containerization technologies

  • Experience building user interfaces (web or native)

  • Master's or PhD in Computer Science, Computer Engineering, or a related field, or equivalent practical experience

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.

How this job compares

Set against the 41,450 open Software Engineer jobs on Olive Jobs, counted October 31, 2026.

Pay
  • This postingNot listed
  • California median$165–246K/yr7,748 salary ranges
  • California median$48–64/hr161 hourly ranges
Openings
Olive Jobs lists 9,644 open Software Engineer jobs in California and 41,450 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 10 years of experience — more than three in four Software Engineer postings that state a minimum ask for (median 5 years, across 33,635 postings).
Education
This posting asks for a bachelor's degree; 14,764 of the 41,450 open Software Engineer jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

You've read the whole posting — now see how you match it.