Apple

Designs phones, computers and their operating systems

Agentic AI Researcher

AI ResearchConfirmed live in the last 24 hours

Full-timeHerzliya, IsraelNo salary listedIn-person

About the Job

Requirements

A Master of Science in Computer Science or a related field is required.
Proficiency in Python, PyTorch, and other modern machine learning frameworks is required.
Prior research or work experience with agentic multimodal large language model systems is required, including self-evolving agentic systems, multi-agent system orchestration design, reinforcement learning for agents, reflection-action agentic loops, and agentic alignment and safety.
Strong background in machine learning research or applied research, with hands-on experience building systems powered by vision, large language models, or multimodal models, is preferred.
Proven experience in product-focused applied research in industry is preferred.
A research track record, such as publications in NeurIPS, CVPR, ICCV, or ECCV, is preferred.

Responsibilities

Design, prototype, and ship agentic architectures that operate over users' visual data.
Track, evaluate, and adapt the latest research and frameworks, turning state-of-the-art designs into production-grade systems.
Explore new approaches to visual perception within agentic loops for tasks including video understanding, spatio-temporal grounding, and efficient visual tokenization.
Investigate tradeoffs between compact on-device models and frontier cloud vision-language models to design a hybrid routing system for latency, privacy, and quality.
Collaborate with machine learning researchers and engineers on the underlying generative models that agent tools depend on.
Partner with product and design to translate open-ended creative requests into reliable, testable agent behaviors.

Summary

We're looking for an Agentic AI Researcher to join our team’s venture - Designing and building the next generation agentic systems enabling personalized experiences for our users. You'll build agentic systems that unlock the full potential of VLMs, turning strong visual reasoning into experiences tailored to each domain, deploying latest research into high-quality, robust production-grade systems.

Minimum Qualifications

MSc in Computer Science or a related field Proficiency in Python, PyTorch, and other modern ML frameworks Prior research or work experience with agentic multimodal LLM systems - self-evolving agentic system, multi-agent system orchestration design, RL for agents, reflection-action agentic loops, agentic alignment and safety. Motivation to work and collaborate within a friendly, innovative and cooperative team

Preferred Qualifications

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 applicative research in the industry Research track record (publications in NeurIPS, CVPR, ICCV, ECCV, etc.)

Description

- Design, prototype, and ship agentic architectures that operate over user's visual data. Track, evaluate and adapt the latest research and frameworks, turning SOTA designs into production-grade systems. - Explore new approaches to visual perception within agentic loops, for tasks of video understanding, spatio-temporal grounding, efficient visual tokenization, and more. - Investigate the tradeoffs between compact on-device models and frontier cloud VLMs to design a hybrid routing system for latency, privacy, and quality. - Collaborate with ML researchers and engineers on the underlying generative models that agent tools depend on. - Partner with product and design to translate open-ended creative requests into reliable, testable agent behaviors.

About the Company

Apple

Designs phones, computers and their operating systems

Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.

Company size: 10,001+
Company stage: IPO
Headquarters: Cupertino, CA
Founded: 1976

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