<div><span style="font-size:16px;">We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.</span></div><br><br><h3>Responsibilities:</h3><ul><li>Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.</li><li>Benchmark perception models using large-scale datasets and well-defined quantitative metrics.</li><li>Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.</li><li>Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.</li><li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li><li>Ensure team compliance with QMS, monitor quality, and drive process improvements.</li></ul><h3>Required Skills:</h3><ul><li>Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.</li><li>Ph.D. new grad or Masters + 3 years industry experience </li><li>Proficiency in Python and experience building deep learning pipelines.</li><li>Strong expertise in PyTorch, TensorFlow, or JAX.</li><li>Proven experience with LiDAR-based 3D perception and BEV representation models</li><li>Deep understanding of multimodal sensor fusion architectures and techniques.</li><li>Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.</li><li>Solid foundation in computer vision, deep learning, and 3D geometry.</li></ul><h3>Preferred Skills:</h3><ul><li>Industry or academic experience in autonomous vehicle perception, robotics, or related areas.</li><li>Hands-on experience developing deep learning models in real-world or production environments.</li><li>Experience with distributed training, high-performance computing, or GPU acceleration.</li></ul><br>

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<div id="ember51" class="ember-view organization-about-module__content-consistant-cards-description"><span class="lt-line-clamp__raw-line">Plus is an AI company whose mission is to build &ldquo;driving intelligence&rdquo; to power a safer and greener world. Plus&rsquo;s autonomous driving solutions span from driver-out SuperDrive&trade;, to highly automated PlusDrive&reg;, next-gen safety technology PlusProtect&trade;, and model-based perception software PlusVision&trade;. Headquartered in Silicon Valley with operations in the U.S., Europe, and Australia, Plus is named by Fast Company as one of the World&rsquo;s Most Innovative Companies. Plus&rsquo;s large AI models are already powering vehicles in commercial use today. Partners including Bosch, dm-drogerie markt, DSV, Hyundai Motor Company, IVECO, Luminar, Nikola, Scania/MAN/Navistar of the TRATON GROUP, and Transurban are working with Plus to accelerate next-generation transportation solutions.</span></div>
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Senior Machine Learning Engineer, Perception

<div><span>We are seeking a highly skilled Machine Learning Engineer with deep expertise in developing Bird’s Eye View (BEV) fusion models using multimodal sensor inputs, particularly LiDAR. You will play a central role in designing scalable perception algorithms that integrate data from camera, LiDAR, and radar sensors to support autonomous driving and 3D scene understanding.</span></div><br><br><h3>Responsibilities:</h3><ul><li>Design, implement, and optimize BEV-based perception models that fuse camera, LiDAR, and radar inputs.</li><li>Benchmark perception models using large-scale datasets and well-defined quantitative metrics.</li><li>Collaborate cross-functionally with research, data, and deployment engineers to refine models and support real-world applications.</li><li>Maintain a strong focus on performance, robustness, and scalability for deployment in production systems.</li><li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li><li>Ensure team compliance with QMS, monitor quality, and drive process improvements.</li></ul><h3>Required Skills:</h3><ul><li>Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.</li><li>Ph.D. new grad or Masters + 3 years industry experience </li><li>Proficiency in Python and experience building deep learning pipelines.</li><li>Strong expertise in PyTorch, TensorFlow, or JAX.</li><li>Proven experience with LiDAR-based 3D perception and BEV representation models</li><li>Deep understanding of multimodal sensor fusion architectures and techniques.</li><li>Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.</li><li>Solid foundation in computer vision, deep learning, and 3D geometry.</li></ul><h3>Preferred Skills:</h3><ul><li>Industry or academic experience in autonomous vehicle perception, robotics, or related areas.</li><li>Hands-on experience developing deep learning models in real-world or production environments.</li><li>Experience with distributed training, high-performance computing, or GPU acceleration.</li></ul><br>

Senior Machine Learning Engineer, Perception

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