AI Application Engineer
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 29, 2026. Apple scores A on the Alion truth index.
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