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 current 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 robust 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
Solid mathematical fundamentals in linear algebra and numerical optimiz

📌 Staff Ai Engineer, Perception Salem
🏢 Agility Robotics
📍 Salem