4 days ago
Responsibilities
- Architect, train, and deploy multimodal scene-understanding models using visual and audio data.
- Develop multimodal LLM capabilities for understanding human behaviors, preferences, interactions, and environmental context.
- Design system architectures, ML algorithms, memory systems, representations, and temporal reasoning approaches for long-term adaptation.
- Build and demonstrate new user experiences using large foundation models while partnering with cross-functional teams.
- Deliver production-ready ML models, algorithms, APIs, and training-infrastructure integrations.
Requirements
- PhD or MS in Computer Science, Engineering, or a related field with a focus on machine learning.
- Strong research skills with first-author publications in top-tier ML conferences.
- Expert-level knowledge of large autoregressive transformer models, multimodal encoders, and representation learning.
- Experience with multimodal large language models.
- Strong Python programming skills and ability to maintain ML codebases using software engineering principles.
- Preferred qualifications include a PhD in Machine Learning, a track record of deploying innovative ML technologies in production, familiarity with ML for resource-constrained devices, and experience working with large cross-functional teams.
Tech Stack
Categories
AI ResearchML Engineering
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.