3 days ago
Sunnyvale, CA, USAMid Level
H1B sponsor
Responsibilities
- Develop and evaluate machine learning models and algorithms for human motion, activity, and representation understanding.
- Design, implement, and productize ML systems for human and activity understanding.
- Conduct foundational research and apply generative modeling, multimodal AI, and computer vision techniques.
- Train and deploy production-grade machine learning models.
- Take research concepts through implementation and shipment in products used by millions of people.
- Collaborate with research, engineering, data science, design, hardware, AI, and domain-specialist teams.
Requirements
- Strong experience developing machine learning models.
- Proficiency in Python and solid software engineering fundamentals.
- Experience with at least one deep learning framework such as PyTorch or JAX.
- Master’s degree in Computer Science or a related field plus 3 years of relevant industry experience.
- Hands-on experience training and deploying production-grade ML models is preferred.
- Experience developing multimodal LLMs or generative models is preferred.
- Production-level experience with a compiled language such as Swift or C++ is preferred.
- Expertise in computer vision, machine learning, multimodal LLMs, Reinforcement Learning, or Agentic AI is preferred.
- A PhD in Computer Science, Electrical Engineering, or a related field focused on computer vision, machine learning, or multimodal systems is preferred.
- Demonstrated problem-solving ability, ownership, and product-shipment experience are preferred.
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.