Senior Machine Learning/Computer Vision Engineer

Senior Machine Learning/Computer Vision Engineer

Parallel Systems is seeking an experienced Machine Learning Engineer to help build the next generation of perception systems powering our fully autonomous, battery-electric rail vehicles. In this role, you’ll take ownership of designing and deploying cutting-edge deep learning models that enable our vehicles to perceive and reason about complex, real-world environments. From handling adverse weather and ambiguous signals to navigating multi-agent interactions on active railways, your work will directly shape the safety and reliability of our autonomous platform.

You’ll collaborate closely with top-tier engineers across autonomy, robotics, and systems, tackling some of the most challenging problems in real-time machine learning and computer vision. If you're excited by the opportunity to push the boundaries of AI in safety-critical, real-world applications, we’d love to work with you. 

This can be a remote role for a senior engineer with experience in 0 to 1 builds of perception systems. 

Responsibilities:

• Design, develop, and deploy advanced machine learning models for large-scale perception problems. 
• Own the full ML lifecycle—from data mining and annotation to training, evaluation, and deployment of production-grade models. 
• Build and optimize deep learning architectures for object detection, segmentation, tracking, pose estimation, and scene understanding. 
• Develop scalable and efficient training pipelines that ensure robust, real-time inference performance. 
• Work extensively with large image, video, lidar and radar datasets to power next-generation computer vision systems. 
• Conduct research and empirical studies to evaluate new architectures, techniques, and algorithmic improvements, incorporating or adapting state-of-the-art methods as appropriate.All jobs at Parallel Universe →Browse Data Science Jobs →