3 days ago
Responsibilities
- Develop applied ML research and production technologies for visual identity, facial attributes, face liveness and anti-spoofing, eye tracking, and gaze analysis.
- Leverage and adapt large-scale visual and multimodal foundation models for downstream perception tasks.
- Build highly efficient, real-time algorithms, including solutions for resource-constrained platforms.
- Partner with product, feature, research, software, hardware, and design teams to transition prototypes into shipping experiences.
- Ensure quality in the field with emphasis on fairness and model robustness.
- Present research and collaborate effectively across multifunctional teams.
Requirements
- Master's or Ph.D. in Computer Science, Computer Engineering, or a related field, or comparable professional experience.
- Extensive experience leveraging large-scale foundation models, including multimodal LLMs or vision-language models.
- Experience adapting or distilling pretrained models for downstream perception tasks.
- Strong programming skills in Python and proficiency with PyTorch or an equivalent deep learning framework.
- Proven expertise and technical leadership in applied ML research.
- Preferred: publications in top-tier journals or conferences, patents, or impactful industry experience.
- Preferred: experience transitioning ML prototypes into shipping products and developing efficient algorithms for resource-constrained platforms.
- Preferred: strong written and verbal communication skills and comfort presenting research to large audiences.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.