Robot Learning Engineering Intern

Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About the Role 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.   Key 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   About You 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   Bonus Qualifications 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 This is an onsite internship at our office in Pittsburgh, PA - minimum 4 days/week onsite. Duration: Internship (3-6+ months, flexible) Anticipated Base Salary Range $55 — $55 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 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. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, i