About the job
The Human and Object Understanding (HOUr) team at Apple is looking for ML leaders in the space of advanced face analysis. This is an opportunity to join a team that built the fundamental ML technologies behind a number of marquee features spanning Camera, Photos, Accessibility, Apple Wallet, Apple Intelligence, and more. We are looking for world class technology leaders that have the ability to translate ideas to action, and lead a team of experts to innovate, build, deploy and maintain groundbreaking face understanding and perception technologies to enable a variety of new features across the Apple ecosystem, such as: - User gaze from RGB images to enable novel interaction experiences: https://www.apple.com/newsroom/2024/05/apple-announces-new-accessibility-features-including-eye-tracking/ - Face liveness in the RGB domain for anti-spoofing, user authentication and security: https://www.apple.com/newsroom/2025/11/apple-introduces-digital-id-a-new-way-to-create-and-present-an-id-in-apple-wallet/ - Face analysis for creating exciting new Camera and Photos experiences: https://support.apple.com/en-us/111102 - Rich face attribute understanding for enabling personalized and identity preserving image generation, and much more! https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/ We are seeking a leader to join our team who can thrive in cross-functional settings, can provide critical technical expertise and leadership, and be responsible for delivering ML solutions that serve the intended experiences while respecting practical constraints such as memory, latency and power.
Responsibilities
Leading an ML team in designing, implementing, and deploying state-of-the-art solutions for advanced face analysis and understanding.
Directly interacting with all cross-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development.
Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations.
Staying abreast with the latest trends, technologies, and standard methodologies in computer vision, machine learning, and large scale foundation models.
Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners.
Qualifications
Minimum
Master's, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience.
Demonstrated technical leadership in industry, and experience in leading ML teams focused on productizing research.
Extensive knowledge and experience with large scale foundation models including multi-modal LLMs or vision-language models, including pre-training and/or adapting pre-trained models for downstream perception tasks.
Ability to be hands-on when needed: Strong programming skills in Python and C++ and proficiency in toolkits like Pytorch, or equivalent deep learning frameworks.
Preferred
Strong background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful industry experience.
Experience in addressing challenges associated with the transition of a prototype into a shipping product.
Familiarity with challenges of developing algorithms that run efficiently on resource constrained platforms.
Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work in multi-functional teams.