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AI Engineer, Perception

Job in Fremont, Alameda County, California, 94537, USA
Listing for: Agility
Full Time position
Listed on 2026-05-08
Job specializations:
  • Engineering
    Robotics, AI Engineer
Salary/Wage Range or Industry Benchmark: 207000 - 323000 USD Yearly USD 207000.00 323000.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Engineer, Perception

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 are pioneering a new era of automation that enhances human potential.

Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digital's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms.

This is a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.

Responsibilities
  • As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production.
  • Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation.
  • Evaluate and drive adoption of state-of-the-art perception models.
  • Promote best practices in architecture, design, and testing to deliver high-quality, scalable software.
  • Optimize deep neural networks and associated data processing to run efficiently on embedded systems.
  • Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements.
Requirements
  • 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role.
  • Proficiency in related technical areas such as deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation.
  • Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision.
  • Familiarity with common computer vision and machine learning libraries such as PyTorch, OpenCV, Num Py, etc.
  • Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures.
  • Experience with MLOps such as data annotation services, data storage, model evaluation tools, and model deployment.
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred).
Bonus Qualifications
  • Experience using YOLO, Faster/Mask R-CNN.
  • Experience developing ML models for 3 or 6 dof pose estimation.
Salary Range

$207,000–$323,000 USD

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.

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, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law.

Agility Robotics prohibits any such discrimination or harassment.

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