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're 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 Digit’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.

• As a Staff AI Engineer, 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

• 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots
• Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems
• Proficiency in related technical areas such as (but not limited to) 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 (but not limited to) PyTorch, OpenCV, Num Py, etc.
• Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures
• Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment
• Publications in your field (CVPR, ICCV, RSS, ICRA preferred)

• Experience using YOLO, Faster/Mask R-CNN
• Experience developing ML models for 3 or 6 dof pose estimation
• Experience in a technical leadership role

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

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Salary Range $207,000 – $323,000 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…