Amazon
Sr. Applied Scientist - Computer Vision, Amazon Robotics
Amazon, Seattle, Washington, us, 98127
Sr. Applied Scientist - Computer Vision, Amazon Robotics
Job ID: 2817518 | 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. Amazon Robotics invents and scales AI systems for robotics in fulfillment. 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 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 enthusiastic, hands-on, seasoned Senior Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable computer vision systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. As a Senior 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 a Senior 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.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.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 QUALIFICATIONS
- 6+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Demonstrated expertise in computer vision and machine learning techniques for robotics systems.PREFERRED QUALIFICATIONS
- Extensive 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: 2817518 | 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. Amazon Robotics invents and scales AI systems for robotics in fulfillment. 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 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 enthusiastic, hands-on, seasoned Senior Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable computer vision systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. As a Senior 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 a Senior 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.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.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 QUALIFICATIONS
- 6+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Demonstrated expertise in computer vision and machine learning techniques for robotics systems.PREFERRED QUALIFICATIONS
- Extensive 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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