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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # staff machine learning engineer - **Company:** Agility Logistics Corp. - **Location:** Pittsburgh, PA, United States - **Experience:** Experienced - **Salary:** $207,000.0 - $323,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Neural Networks, Computer Vision, Machine Learning, NumPy, Object Detection, OpenCV, Supervised Learning, Data Processing, Data Storage Technologies, Pytorch, Mobile Robots, Convolutional Neural Networks, Machine Learning Operations, Software Library - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/bbb07a79-79c5-47f2-9b54-96d8e10c7e89 ## About the Role * 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 * 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 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. ## Description * 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 ## Related Videos - [Robots are coming into the wild! 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