Robot Learning Engineering Intern

Agility Robotics•Pittsburgh, PA

16h•$55 - $55•Onsite

About The Position

We are looking for a graduate-level Robot Learning Engineering Intern to join our Skills team and support the development of learned manipulation behaviors for our humanoid robots. You will work at the intersection of robot learning, teleoperation, data collection, and on-robot evaluation, helping the team build and validate learning workflows that can support future deployment on humanoid systems. This internship is especially well-suited for a graduate student who wants hands-on experience with a self-contained robot learning testbed and is excited to explore how high-quality demonstrations, sensing, and evaluation can be used to develop force-aware or contact-rich manipulation policies. You will work closely with engineers developing Learning from Demonstration (LfD) systems and learned robot skills, contributing to the tooling, experiments, and analysis needed to make these approaches useful in practice.

Requirements

Currently pursuing an MS or PhD in Robotics, Computer Science, Machine Learning, or a related field
Strong software engineering fundamentals and proficiency in Python
Background in robotics, machine learning, embodied AI, controls, or autonomous systems
Familiarity with at least some of the following: imitation learning, reinforcement learning, robot manipulation, force control, teleoperation, robot sensors, or object perception
Strong analytical, experimental, and debugging skills
Comfortable working hands-on with robotic systems in a lab environment

Nice To Haves

Experience with behavior cloning, Learning from Demonstration, offline RL, or learned control policies
Experience with robot data collection systems, VR/XR tools, haptics, or teleoperation interfaces
Experience with force/torque sensing or contact-rich manipulation tasks
Experience evaluating algorithms on real hardware rather than simulation alone

Responsibilities

Support demonstration data collection for learned robot behaviors using teleoperation and other operator-in-the-loop systems
Help build and improve a robot learning testbed, including integration of teleop interfaces, cameras, and other sensing required for data collection and evaluation
Assist with experiments focused on contact-rich or force-aware manipulation behaviors
Build and improve tooling for data ingestion, annotation, validation, replay, and analysis
Assist in evaluating learned policies in simulation and on real robot hardware
Partner with engineers to debug failures and improve system robustness
Analyze experiments and generate insights around data quality, policy behavior, and deployment readiness
Contribute to internal tools and infrastructure for robot learning development
Document findings and communicate results to mentors and cross-functional stakeholders

Benefits

401(k) Plan: Includes a 6% company match.
Equity: Company stock options.
Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
Benefit Start Date: Eligible for benefits on your first day of employment.
Well-Being Support: Employee Assistance Program (EAP).
Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually.
On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
Parental Leave: Generous paid parental leave programs.
Work Environment: A culture that supports flexible work arrangements.
Growth Opportunities: Professional development and tuition reimbursement programs.
Relocation Assistance: Provided for eligible roles.
Annual Discretionary Bonus: Provided for eligible roles.