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Apple

# AIML - Machine Learning Research Lead, RL Agents, MLR

Cupertino, United States of America Manager or lead Data & Analytics 

Listed on Apple’s official careers site. Posted September 9, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200674615/aiml-machine-learning-research-lead-rl-agents-mlr)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / AIML - Machine Learning Research Lead, RL Agents, MLR

## Job description

We are looking for a hands-on research lead to drive our work on reinforcement learning and post-training for agentic AI, and to manage a small team of senior researchers working on related problems in RL, agentic tool-calling, synthetic environment generation, model scaling, and multimodal action models. You will help set direction for how we develop infrastructure, training, runtime and evaluation procedures for interactive agents — tool calling, coding, computer use, and long-horizon tasks.

This role sits inside a research organization pursuing first-principles approaches to core AI problems: generative foundation models across modalities (text, images, graphs, scientific and engineering data), vision-language modeling and implicit world modeling, self-supervised learning, and search and evolutionary methods for optimizing both agents and the environments they learn in. A distinctive part of our agenda is designing methods that fit Apple's deployment reality — on-device and hybrid (device plus private cloud) execution, co-designed with current and future hardware — and that take advantage of what this ecosystem uniquely enables, such as deeply personalized, long-context agentic experiences.

We aim for both field-changing research and direct impact on Apple products and internal engineering processes. MLR is a research group first. Management here is about spreading the load of running a team, not stepping away from the work — everyone, including leads, stays hands-on.

### We support continued engagement with the academic community

publishing, conference service, student collaboration, and internships.

## At a glance
- Posted by the employer: Sep 9, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 39 days
- Location: Cupertino, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200674615/aiml-machine-learning-research-lead-rl-agents-mlr)

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