This role offers the opportunity to lead a world-class team at the forefront of applied AI—developing embodied systems that connect perception, motion, and intelligence. The ideal candidate combines hands-on technical fluency with organizational leadership, guiding innovation from synthetic data pipelines and 3D perception to scalable production integration.
Description
Artificial Intelligence represents a transformative opportunity for Apple, enhancing products and experiences for billions of users worldwide. Apple is seeking a technically strong and visionary Manager, AIML Engineering to lead a team focused on building the next generation of embodied intelligence systems. This role will oversee research and engineering efforts at the intersection of machine learning, computer vision, and generative modeling—advancing Apple’s capabilities in character-based and spatially aware AI technologies.
Minimum Qualifications
Proven leadership experience managing teams in applied AI/ML research and development, with a demonstrated record of delivering scalable, high-quality systems.
Deep expertise in machine learning, computer vision, generative modeling, and synthetic data—including experience building tools, datasets, and simulation-based training workflows.
Strong proficiency in Python, C++, C#, and ML frameworks such as PyTorch, TensorFlow, and Kubeflow.
Hands-on experience designing ML infrastructure and MLOps pipelines for data-driven research and production model deployment.
Familiarity with Unity, 3D graphics systems, or robotics is highly desirable, particularly for developing synthetic environments and embodied AI simulations.
Understanding of conditional generation, representation learning, and geometric deep learning methods, especially for 3D perception and reasoning tasks.
Exceptional communication and collaboration skills, with the ability to translate research into practical applications across diverse teams.
Advanced degree (Ph.D. or M.S.) in Computer Vision, Machine Learning, Robotics, Computer Science, or a related discipline or 5+ years equivalent industry experience.
Preferred Qualifications
Familiarity with Apple’s research and product ecosystem is a plus.
Demonstrated passion for advancing AI methods that combine perception, reasoning, and action.
Proven ability to balance long-term research exploration with near-term deliverables.
Experience publishing in top-tier AI or robotics venues or contributing to open-source ML frameworks is advantageous.
Responsibilities
Lead and mentor a multidisciplinary team of AIML engineers and researchers developing intelligent systems for human-centric and embodied AI applications.
Drive research and engineering initiatives across 3D computer vision, generative modeling, and synthetic data generation to support large-scale training and evaluation.
Oversee the design and deployment of machine learning infrastructure, including scalable data pipelines, model training environments, and experiment tracking systems.
Collaborate closely with product, design, and research partners across Apple to align foundational AI technologies with upcoming product experiences.
Guide the integration of research prototypes into production frameworks, ensuring performance, maintainability, and alignment with Apple’s high standards for quality and privacy.
Lead architectural reviews, establish best practices for reproducible ML research, and ensure robust documentation and knowledge transfer across teams.
Represent the team in technical and strategic discussions, influencing direction on key AI initiatives across Apple’s ecosystem.
Eeo Content
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.
