Staff AI Engineer, Perception

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About the role

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. Responsibilities: • 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 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, NumPy, 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) Bonus Qualifications: • 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, annu

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