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# staff machine learning engineer

- **Company:** Agility Logistics Corp.
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Salary:** $207,000.0 - $323,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, Machine Learning, NumPy, Object Detection, OpenCV, Supervised Learning, Data Processing, Data Storage Technologies, Pytorch, Mobile Robots, Convolutional Neural Networks, Information Technology, Machine Learning Operations, Software Library
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/staff-ai-engineer-perception-agility-robotics-7943666

## About the Role

* 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

## Description

* 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


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