Staff AI/ML Engineer - AMR Robot Perception

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV office three times per week, at minimum. 

Role: We are seeking a highly skilled Staff Robot Perception Engineer to lead the development of cutting-edge machine learning systems that enable perception capabilities for autonomous robots. You will be instrumental in designing, training, and deploying camera- and LiDAR-based models for object detection, classification, tracking, and segmentation in complex, real-world indoor environments. 

This role spans the full model development lifecycle and involves close collaboration with cross-functional teams, including hardware, localization, and planning. You will also help build scalable offline tools for data processing, training, evaluation and validation. 

About the Organization  

The Robotics Software team is pioneering the next generation of autonomous robotic systems, focusing on autonomous mobile robots (AMRs) and intelligent robotic platforms. We develop full-stack robotics capabilities—from perception and planning to control and system integration—bringing innovative, real-world autonomous solutions to the future of the work. 

What You'll Do:

• Design, implement, and deploy perception algorithms and models for object detection, tracking, classification, and segmentation using camera and LiDAR data 

• Develop and apply sensor fusion techniques to improve accuracy and robustness 

• Develop offline tools to evaluate and benchmark the performance 

• Optimize perception models for real-time performance and hardware constraints 

• Collaborate with motion planning and localization teams to ensure seamless system integration 

• Design and maintain cloud-based pipelines for data preprocessing, model training, and evaluation 

• Contribute to system-level testing and validation in real-world scenarios 

Additional Job Description

Your Skills & Abilities: 

• Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field 

• 3+ years of experience developing and deploying real-world robot perception systems 

• Strong programming skills in Python and C++ 

• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow 

• Expertise in multi-modal sensor fusion and data processing 

• Solid understanding of robotics systems including localization, mapping, and planning 

What Will Give You A Competitive Edge: 

• Experience with ROS/ROS2 and Navigation2 framework 

• Familiarity with testing frameworks and hardware-in-the-loop (HIL) testing 

• Understanding of CI/CD pipelines and modern software development practices 

• Background in autonomous vehicles (AV), ADAS, or industrial automation 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado,