Energy Jobline ZR
Staff/Senior Staff Research Engineer, Deep Learning in Santa Clara
Energy Jobline ZR, Santa Clara, California, us, 95053
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Job Description
Plus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next‑autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. Develop Bird’s Eye View (BEV) perception models for autonomous driving applications Develop Vision Models for scene understanding and action for autonomous driving applications Complete ownership of project from ideation, design, developing data requirements, model training, evaluation and deployment Research and prototype novel solutions which can help tackle the long-tail of real-world problems in challenging and diverse scenarios (e.g. on highway and local roads, extreme weather conditions, sensor failures, etc) Collaborate cross-functionally to ensure model development keeps a real-time focus and operates efficiently in compute‑constrained environments Rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills
MS or PhD in CS, EE, mathematics, statistics or related field 3+ years of industry experience working on cutting edge deep learning applications Expertise with Python, willingness to do some C++ development as needed. Deep understanding of machine learning principles and methodologies Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax) Skills
Relevant industry experience (prior work on self-driving vehicles, autonomy, computer vision and/or robotics projects) Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation, vision‑models, end-to-end learning In‑depth understanding of cutting-edge deep learning techniques and architectures like transformers, CNNs Expertise in machine learning or related field demonstrated by patents or publications in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) Experience with ML Ops and best practices for scalable ML deployment Your opportunities joining Plus
Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
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Plus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next‑autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. Develop Bird’s Eye View (BEV) perception models for autonomous driving applications Develop Vision Models for scene understanding and action for autonomous driving applications Complete ownership of project from ideation, design, developing data requirements, model training, evaluation and deployment Research and prototype novel solutions which can help tackle the long-tail of real-world problems in challenging and diverse scenarios (e.g. on highway and local roads, extreme weather conditions, sensor failures, etc) Collaborate cross-functionally to ensure model development keeps a real-time focus and operates efficiently in compute‑constrained environments Rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts. Ensure team compliance with QMS, monitor quality, and drive process improvements. Required Skills
MS or PhD in CS, EE, mathematics, statistics or related field 3+ years of industry experience working on cutting edge deep learning applications Expertise with Python, willingness to do some C++ development as needed. Deep understanding of machine learning principles and methodologies Experience with implementing deep learning models in at least one deep learning framework (PyTorch, Tensorflow, Jax) Skills
Relevant industry experience (prior work on self-driving vehicles, autonomy, computer vision and/or robotics projects) Past experiences in deep learning projects involving object detection, motion tracking or semantic segmentation, vision‑models, end-to-end learning In‑depth understanding of cutting-edge deep learning techniques and architectures like transformers, CNNs Expertise in machine learning or related field demonstrated by patents or publications in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) Experience with ML Ops and best practices for scalable ML deployment Your opportunities joining Plus
Work, learn and grow in a highly future-oriented, innovative and dynamic field. Wide range of opportunities for personal and professional development. Catered free lunch, unlimited snacks and beverages. Highly competitive salary and benefits package, including 401(k) plan. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
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