{"schemaVersion":"jobsearcher.job.v1","id":"4ec0745338dc3e862a0207a2","url":"https://jobsearcher.com/jobs/4ec0745338dc3e862a0207a2","canonicalUrl":"https://jobsearcher.com/jobs/4ec0745338dc3e862a0207a2","title":"Algorithm Engineer, Deep Learning & Vision (New Grad)","description":"Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.\nCompany Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.\nKey Responsibilities Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.\nFull Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.\nCross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.\nLiterature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.\nHow You'll Grow This matters as much to us as what you'll ship.\nYou get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.\nWe promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.\nQualifications Required:\nEducation: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.\nYou have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.\nCore Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).\nTechnical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).\nAttributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.\nPreferred Computer vision. Research or projects in computer vision, and particularly in 3D.\nSpecific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains: Computer Vision (2D or 3D)\nOnline Mapping, Vectorization, or Visual SLAM\nPrediction and Behavioral Modeling\n\nAcademic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).\nEngineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).\nIndustry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.\n\n#J-18808-Ljbffr","company":"Bot Auto","rawCompany":"bot auto","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-29T03:47:31.460Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"336110","title":"Automobile and Light Duty Motor Vehicle Manufacturing","slug":"automobile-and-light-duty-motor-vehicle-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Algorithm Engineer, Deep Learning & Vision (New Grad)","description":"Company Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.\nCompany Introduction At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.\nKey Responsibilities Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.\nFull Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.\nCross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.\nLiterature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.\nHow You'll Grow This matters as much to us as what you'll ship.\nYou get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.\nWe promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.\nQualifications Required:\nEducation: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.\nYou have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.\nCore Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).\nTechnical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).\nAttributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.\nPreferred Computer vision. Research or projects in computer vision, and particularly in 3D.\nSpecific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains: Computer Vision (2D or 3D)\nOnline Mapping, Vectorization, or Visual SLAM\nPrediction and Behavioral Modeling\n\nAcademic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).\nEngineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).\nIndustry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.\n\n#J-18808-Ljbffr","datePosted":"2026-10-29T03:47:31.460Z","dateModified":"2026-10-29T03:47:31.460Z","hiringOrganization":{"@type":"Organization","name":"Bot Auto","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4ec0745338dc3e862a0207a2"},"url":"https://jobsearcher.com/jobs/4ec0745338dc3e862a0207a2"}}