Staff Machine Learning Engineer, Perception

Summary

Join Agility Robotics, a pioneer in humanoid robot technology, and become a Staff Machine Learning Engineer on our Perception team. You will lead the architecture and roadmap for object detection and tracking algorithms, designing, developing, and deploying machine learning models for Digit, our groundbreaking robot. This role requires significant experience in deploying machine learning algorithms on mobile robots and a strong background in computer vision and deep learning. You will collaborate with other teams to integrate perception capabilities into our products. Agility Robotics offers a comprehensive benefits package including competitive compensation, equity, excellent health insurance, generous paid time off, and professional development opportunities.

Requirements

• 5+ years of experience deploying machine learning based object detection algorithms on mobile robots
• At least a year of experience in a technical leadership role
• 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

Responsibilities

• Own the architecture and technical roadmap for the object detection and tracking team
• Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and object pose estimation
• 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

Preferred Qualifications

• Experience using YOLO, Faster/Mask R-CNN
• Experience developing ML models for 3 or 6 dof pose estimation
• 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)

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
• Time Off: Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually
• On-Site Perks: Catered lunches twice 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