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ML Research Scientist at Apple

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Robotics, Foundation Models, Reinforcement Learning, Imitation Learning, Vision-Language-Action Models, World Models, Synthetic Data, Generative Models, LLMs, VLMs, VLAs, Diffusion Models, Control Policies, Data Collection, Training Infrastructure

Industry

Computers and Electronics Manufacturing

Description

Our team is looking for a researcher to work with a collaborative group of ML and robotics specialists within Apple’s organization. This team is working to leverage foundation models and build upon cutting-edge ML research to enable the development of generalizable and reliable robot systems. DESCRIPTION Duties associated with this position include conducting collaborative research on a variety of novel machine learning approaches and robotics platforms. A core component of such duties will include leveraging foundation models in the development of brand new learning-based control policies. Particular areas of interest include, but are not limited to, vision-language-action models (VLAs), imitation learning, reinforcement learning, world models, synthetic data and related areas. Part of this development will include informing data collection efforts, contributing to training and testing infrastructure, and remaining up to date on the latest literature. MINIMUM QUALIFICATIONS MS in computer science, engineering, or relevant degree. Experience with generative models, e.g. LLMs, VLMs, VLAs, diffusion models, etc. PREFERRED QUALIFICATIONS Ph.D. in computer science, engineering, or relevant degree. Experience with learning-based control policies Experience with robot manipulation Consistent track record of researching, inventing and/or shipping advanced machine learning models Outstanding communication and interpersonal skills with ability to work with cross-functional teams

Responsibilities

The role involves conducting collaborative research on novel machine learning approaches and robotics platforms, focusing heavily on leveraging foundation models to develop new learning-based control policies. Duties also include informing data collection, contributing to training and testing infrastructure, and staying current with the latest literature.