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!\\n\\nThe 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.
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.
Serve as a founding engineer to shape the team"s AI technical foundation and roadmap.\\nIdentify gaps and opportunities in hardware engineering workflows where AI can bring impact.\\nPartner with hardware teams to define features and scope for AI solutions.\\nEvaluate and adopt enterprise AI solutions from across Apple, and introduce custom workflows tailored to team needs.\\nBenchmark, adapt, and integrate AI/ML models into existing software systems.\\nArchitect and implement end-to-end software solutions where existing platforms fall short.\\nDeploy and support AI tools, including user interfaces, for our hardware engineering teams.
BS and a minimum of 10 years relevant industry experience\\nStrong understanding of generative AI models, particularly large language models (LLMs)\\nProficiency in Python\\nExcellent software engineering skills, versed in modular and object-oriented design methodology and general SW best practices\\nProven ability to work with cross-functional teams and drive decision-making under uncertainty\\nSelf-driven, with strong problem-solving skills and a passion for tackling new challenges in ambiguous, early-stage environments
5+ years of software development experience, including 2+ years of hands-on experience developing AI-powered applications\\nExperience designing and deploying agentic AI systems\\nExperience adopting and integrating enterprise AI platforms across teams\\nBackground in sensing systems (e.g., IMUs, pressure sensors, magnetic sensors, signal processing, sensor fusion) or hardware system integration\\nExperience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)\\nDemonstrated ability to bring state-of-the-art AI research into production systems\\nHands-on experience with cloud services and containerization technologies\\nExperience building user interfaces (web or native)\\nMaster"s or PhD in Computer Science, Computer Engineering, or a related field, or equivalent practical experience
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.
Serve as a founding engineer to shape the team"s AI technical foundation and roadmap.\\nIdentify gaps and opportunities in hardware engineering workflows where AI can bring impact.\\nPartner with hardware teams to define features and scope for AI solutions.\\nEvaluate and adopt enterprise AI solutions from across Apple, and introduce custom workflows tailored to team needs.\\nBenchmark, adapt, and integrate AI/ML models into existing software systems.\\nArchitect and implement end-to-end software solutions where existing platforms fall short.\\nDeploy and support AI tools, including user interfaces, for our hardware engineering teams.
BS and a minimum of 10 years relevant industry experience\\nStrong understanding of generative AI models, particularly large language models (LLMs)\\nProficiency in Python\\nExcellent software engineering skills, versed in modular and object-oriented design methodology and general SW best practices\\nProven ability to work with cross-functional teams and drive decision-making under uncertainty\\nSelf-driven, with strong problem-solving skills and a passion for tackling new challenges in ambiguous, early-stage environments
5+ years of software development experience, including 2+ years of hands-on experience developing AI-powered applications\\nExperience designing and deploying agentic AI systems\\nExperience adopting and integrating enterprise AI platforms across teams\\nBackground in sensing systems (e.g., IMUs, pressure sensors, magnetic sensors, signal processing, sensor fusion) or hardware system integration\\nExperience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)\\nDemonstrated ability to bring state-of-the-art AI research into production systems\\nHands-on experience with cloud services and containerization technologies\\nExperience building user interfaces (web or native)\\nMaster"s or PhD in Computer Science, Computer Engineering, or a related field, or equivalent practical experience