2 days ago
Responsibilities
- Lead end-to-end technology incubations from early ideation through deployment.
- Apply state-of-the-art machine learning research, algorithmic innovation, and agentic systems to high-impact challenges.
- Build and maintain data-intensive systems, including feature pipelines, training infrastructure, and evaluation frameworks.
- Prototype, investigate, and productize emerging technologies across multiple layers of the development process.
- Collaborate with researchers, engineers, company leaders, and cross-functional partners to shape intelligent product experiences.
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science or an adjacent technical field.
- At least 6 years of engineering experience building and maintaining data-intensive systems.
- Strong proficiency in Python and C++ and experience with complex, multi-language systems.
- Expertise in deep learning frameworks such as PyTorch.
- Familiarity with state-of-the-art machine learning approaches including VLMs, diffusion models, and reinforcement learning.
- Preferred experience in robotics, machine perception, computer vision, graphics, simulation, contextual computing, cognitive science, psychology, real-time systems, integrated local-to-cloud architectures, hardware bring-up, data communication protocols, or sensor integration.
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.