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 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
- 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
- Strong m
📌 Staff AI Engineer, Perception (Salem)
🏢 Agility Robotics
📍 Salem
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