Staff AI Engineer - Robot Perception & Vision

Agility Robotics; Pittsburgh (Allegheny County); On-site; USD 170,000 - 250,000; Full time

Benefits offered by this job

Stock options

Paid parental leave

Five weeks PTO

Retirement plan

Relocation assistance

Referral program

Company-paid health, dental, vision, &

Flexible work schedules

Job summary

Agility Robotics is seeking a Staff Machine Learning Engineer to own the design and deployment of perception systems for production-use robots. You will lead object detection, tracking, and pose estimation across CPU/GPU platforms while aligning with product goals.

Ideal candidates have 5+ years deploying ML for mobile robots, strong academic foundations, and experience with MLOps and CV/ robotics publications.

Qualifications

• 5+ years deploying ML-based object detection algorithms on mobile robots.
• Experience with MLOps: data annotation, storage, evaluation tools, deployment.
• Publications in CVPR/ICCV/RSS/ICRA preferred.
• Strong math foundations in linear algebra and optimization.
• Experience with 3 or 6 DoF pose estimation and related ML models.

Responsibilities

• Own the design and development of object detection and tracking algorithms.
• Own architecture and technical roadmap for perception systems used by the robot in production.
• Design, develop, and deploy ML algorithms for multi-object detection and scene understanding.
• Evaluate and drive adoption of state-of-the-art perception models.
• Collaborate with navigation, manipulation and hardware teams to align perception with product requirements.

Skills

Object detection

Multi-object tracking

Pose estimation

ML on embedded systems

MLOps

Computer vision fundamentals

Leadership

Algorithms optimization

Python

C++

Education

Master's or Ph.D. in AI/Robotics/CS

Tools

PyTorch

OpenCV

NumPy

TensorRT

YOLO

Faster R-CNN

Mask R-CNN

Job description

Agility Robotics is seeking a Staff Machine Learning Engineer to own the design and deployment of perception systems for production-use robots. You will lead object detection, tracking, and pose estimation across CPU/GPU platforms while aligning with product goals.

Ideal candidates have 5+ years deploying ML for mobile robots, strong academic foundations, and experience with MLOps and CV/ robotics publications.