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 12 company holidays, including a winter shutdown.

Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 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 does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.