Note: The job is a remote job and is open to candidates in USA. Agility Robotics develops commercially deployed humanoid robots that operate alongside teams in warehouses, manufacturing facilities, and distribution centers. The Senior Manager, Learning from Demonstration will lead AI/ML research initiatives for humanoid robotics, manage researchers and engineers, and drive projects from concept through proof-of-concept deployment. The role focuses on real-time planning, whole-body control, learning from demonstration, fleet learning, and team development.
Responsibilities
- Oversee the lifecycle of innovation projects, from initial research and whiteboarding to "proof-of-concept" deployment on humanoid platforms
- Owns the success of the AI Innovation program, holding themselves and the team accountable for quality and delivery
- Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control
- Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability
- Partner with Hardware and Robot Software teams to ensure that next-generation sensor suites are optimized for future AI architectures
- Champion the existing team's talent and represent their needs to senior leadership
- Manage performance cycles, create individualized development plans, and lead hiring to scale the AI Innovation team
- Foster a safe and collaborative environment within the team, encouraging open dialogue and the freedom to learn from failed experiments
Skills
- Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field
- Minimum of 8 years of experience in AI/ML, with at least 3 years in a management role
- Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications
- Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics
- Proven track record of managing scaling high-performance engineering or research teams
- Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits
- This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices
- All of our roles are U.S.-based. Applicants must have current authorization to work in the United States
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.
- Eligible for benefits on your first day of employment.
- Employee Assistance Program (EAP).
- 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.
- Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Generous paid parental leave programs.
- A culture that supports flexible work arrangements.
- Professional development and tuition reimbursement programs.
- Relocation assistance provided for eligible roles.
- Annual discretionary bonus provided for eligible roles.
Company Overview