Senior Machine Learning/Computer Vision Engineer

<div class="content-intro"><p>Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight.</p></div><p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Senior</span> <span data-ccp-parastyle="heading 1">Machine Learning/Computer Vision Engineer</span></span></strong></p> <p><span data-contrast="auto">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. </span></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{"134245418":true,"134245529":true}"> </span></p> <p><span data-ccp-props="{"134245418":true,"134245529":true}">This can be a remote role for a senior engineer with experience in 0 to 1 builds of perception systems. </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Responsibilities:</span></span></strong></p> <ul> <li><span data-contrast="auto">Design, develop, and deploy advanced machine learning models for large-scale perception problems.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}"> </span></li> <li><span data-contrast="auto">Own the full ML lifecycle—from data mining and annotation to training, evaluation, and deployment of production-grade models.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}"> </span></li> <li><span data-contrast="auto">Build and optimize deep learning architectures for object detection, segmentation, tracking, pose estimation, and scene understanding.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}"> </span></li> <li><span data-contrast="auto">Develop scalable and efficient training pipelines that ensure robust, real-time inference performance.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}"> </span></li> <li><span data-contrast="auto">Work extensively with large image, video, lidar and radar datasets to power next-generation computer vision systems.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}"> </span></li> <li><span data-contrast="auto">Conduct research and empirical studies to evaluate new architectures, techniques, and algorithmic improvements, incorporating or adapting state-of-the-art methods as appropriate.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335551550":0,"335551620":0,"335559738":240,"335559739":240}"> </span></li> <li><span data-contrast="auto">Build and contribute to infrastructure and tools for supporting ML Pipeline to automate data labeling, training workflows, evaluation processes, and model versioning.</span><span data-ccp-props="{"134233117":false,"134233118":fals ... (truncated, view full listing at source)