1 day ago
Responsibilities
- Design and develop next-generation agentic features for Apple’s creative applications.
- Build and evaluate LLM/VLM-powered agents with tool use, multi-step reasoning, planning, and context management.
- Build, train, and deploy transformer-based vision models, GANs, or related methods.
- Deploy agentic systems to production and contribute to AI reliability, safety, and benchmarking.
- Optimize models for resource-constrained platforms, including Apple platforms such as iOS and macOS.
- Collaborate with creatives, designers, and engineers to deliver user-facing creative tools.
Requirements
- Master’s degree in computer science, machine learning, or a related field.
- At least four years of industry experience delivering generative AI, machine learning, or computer vision products.
- Strong theoretical and practical knowledge of machine learning and deep learning.
- Hands-on experience building and evaluating LLM/VLM-powered agents.
- Strong programming skills in Python and/or C++ and experience with PyTorch, JAX, or TensorFlow.
- Preferred: PhD in computer science, machine learning, or a related field.
- Preferred: experience deploying agentic systems to production, fine-tuning LLMs, training adapters for foundation models, or optimizing models for resource-constrained platforms.
- Preferred: experience with Core ML, Swift, and iOS/macOS; a strong patent and publication record; and an interest in photography.
- Strong communication, collaboration, and interpersonal skills.
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.