10 days ago
Herẕliyya, IsraelMid Level
Responsibilities
- Design, prototype, and ship agentic architectures operating over users’ visual data.
- Track, evaluate, and adapt the latest research and frameworks into production-grade systems.
- Explore visual perception approaches for video understanding, spatio-temporal grounding, efficient visual tokenization, and related tasks.
- Investigate tradeoffs between compact on-device models and frontier cloud VLMs to design hybrid routing for latency, privacy, and quality.
- Collaborate with ML researchers and engineers on generative models underlying agent tools.
- Partner with product and design to develop reliable and testable agent behaviors from open-ended creative requests.
Requirements
- MSc in Computer Science or a related field.
- Proficiency in Python, PyTorch, and other modern machine learning frameworks.
- Prior research or work experience with agentic multimodal LLM systems, including self-evolving agents, multi-agent orchestration, reinforcement learning for agents, reflection-action loops, or agentic alignment and safety.
- Strong background in machine learning research or applied research, with hands-on experience building systems powered by vision, LLMs, or multimodal models.
- Proven experience in product-focused applied research in industry.
- Research track record, preferably including publications at venues such as NeurIPS, CVPR, ICCV, or ECCV.
- Ability and motivation to collaborate within a friendly, innovative, and cooperative team.
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.