Research Scientist Intern, Robotic Control Policy (PhD)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

$8K-$12K/mo From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

6% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Entry From the posting source

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research Scientist Intern, Robotic Control Policy (PhD) Redmond, WA At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world. As a Research Scientist Intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on developing data-driven/ML-powered robotic control policies for dextrous manipulation and teleoperation applications. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities: - Conduct collaborative research on developing control policies for a range of robotics platforms. - Implement frameworks to train state-of-the-art machine learning control policies such as Large Behavioral Models, Imitation Learning, and Reinforcement Learning. - Develop robotic data collection pipelines for robotic dextrous manipulation, train models, and benchmark different algorithms. - Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. Minimum qualifications: - Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or relevant technical field - Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way - Experience with RoS,

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