Amazon
Applied Scientist - Computer Vision, Amazon Robotics
Amazon, Seattle, Washington, us, 98127
Applied Scientist - Computer Vision, Amazon Robotics
Job ID: 2823772 | Amazon.com Services LLCDo you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently in high-density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking a hands-on, seasoned Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. As an Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi-supervised learning, and active learning.As an Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a collaborative team environment.Key job responsibilities:Architect, design, and implement Machine Learning models for vision systems on robotic platforms.Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap.Work with stakeholders across science and operations teams to iterate on design and implementation.Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment.Work directly with customers and partners to test prototypes and incorporate feedback.Mentor other engineer team members.BASIC QUALIFICATIONS3+ years of building models for business application experience.PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms.Experience in patents or publications at top-tier peer-reviewed conferences or journals.Experience programming in Java, C++, Python or related language.PREFERRED QUALIFICATIONSExtensive experience writing scientific papers, with multiple publications in top machine learning, computer vision or NLP conferences/journals, like CVPR, ICCV, ECCV, PAMI, NeurIPS, ICML, ICLR, JMLR, etc.Expertise in generative models, 3D vision, transformers, or other computer vision, LLMs or machine learning techniques.Experience in large data analysis.Solid knowledge of statistics and probability.Experience working in a fast-paced, highly collaborative, dynamic work environment.Ability to communicate effectively across multiple organizations in the company.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Job ID: 2823772 | Amazon.com Services LLCDo you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently in high-density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking a hands-on, seasoned Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. As an Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi-supervised learning, and active learning.As an Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a collaborative team environment.Key job responsibilities:Architect, design, and implement Machine Learning models for vision systems on robotic platforms.Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap.Work with stakeholders across science and operations teams to iterate on design and implementation.Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment.Work directly with customers and partners to test prototypes and incorporate feedback.Mentor other engineer team members.BASIC QUALIFICATIONS3+ years of building models for business application experience.PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms.Experience in patents or publications at top-tier peer-reviewed conferences or journals.Experience programming in Java, C++, Python or related language.PREFERRED QUALIFICATIONSExtensive experience writing scientific papers, with multiple publications in top machine learning, computer vision or NLP conferences/journals, like CVPR, ICCV, ECCV, PAMI, NeurIPS, ICML, ICLR, JMLR, etc.Expertise in generative models, 3D vision, transformers, or other computer vision, LLMs or machine learning techniques.Experience in large data analysis.Solid knowledge of statistics and probability.Experience working in a fast-paced, highly collaborative, dynamic work environment.Ability to communicate effectively across multiple organizations in the company.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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