Research Intern - Robotic Hardware, Simulation and Data

The Robot Age; Sunnyvale (CA); Hybrid; USD 48,000 - 62,000; Full time

Job summary

Applied Intuition is offering a research internship focused on robotics hardware workflows, large-scale simulation for reinforcement learning, and human-data processing within a physical AI research group.

You will explore humanoid and general robotics hardware, engage with pose estimation and SLAM pipelines, and contribute to publishable work across robotic systems and autonomy.

Qualifications

• Current PhD or MSc in machine learning, computer vision, graphics, or robotics.
• Research strength in robotics, simulation, data processing, or robot learning.
• Ability to move between experiments, implementation, and collaboration.
• Interest in scalable autonomy and robotics systems.

Responsibilities

• Support research on humanoid and general robotics hardware workflows.
• Build or use large-scale robotic simulation for reinforcement learning.
• Work with human data, retargeting, pose estimation, or SLAM pipelines.
• Collaborate with researchers on publishable work tied to physical AI systems.

Skills

Robotics research

Simulation

Data processing

Robot learning

Education

Current PhD or MSc in ML/CS/Robotics

Tools

Pose estimation

SLAM

Job description

What the role actually is

Applied Intuition is hiring research interns to work on robotics hardware, simulation, and data inside its physical AI research group. The posting points to humanoid and general robotics hardware experience, large-scale simulation, deformable-object simulation, reinforcement learning training, and human-data processing.

This is a research internship for someone who wants to understand the data and simulation machinery behind robot learning, not just train models in isolation.

What you would work on

• Support research on humanoid and general robotics hardware workflows
• Build or use large-scale robotic simulation for reinforcement learning
• Work with human data, retargeting, pose estimation, or SLAM pipelines
• Collaborate with researchers on publishable work tied to physical AI systems

What they are asking for

• Current PhD or MSc study in machine learning, computer vision, graphics, or robotics
• Research strength in robotics, simulation, data processing, or robot learning
• Ability to move between experiments, implementation, and collaboration
• Interest in scalable autonomy and robotics systems

Why this one is worth a look

Robot learning depends heavily on the unglamorous parts: data collection, simulation fidelity, retargeting, and evaluation. This internship is worth flagging because it names those pieces directly and puts them inside a research group working across humanoids, dexterous hands, and autonomous machines.