Amazon
Applied Scientist, Frontier AI & Robotics
Amazon, San Francisco, California, United States, 94199
Job ID: 2854236 | Amazon.com Services LLC
Amazon is looking for innovative and experienced Applied scientists to join its Frontier AI & Robotics team. As an Applied Scientist in this team, you will lead and support the development of robotics foundational models for decision-making, focusing on tasks from perception to manipulation. You will collaborate with scientists and engineers to design new deep learning algorithms, refine model architectures, and explore reinforcement learning strategies to build general, flexible robots that operate effectively in the real world. Your work will balance forward-looking research with practical application, working closely with platform teams to deploy your models and algorithms into production, in order to ensure that our robotic systems that are scalable and robust enough for our dynamic real-world environments. Your contributions will drive innovation in robotics at scale and help shape the future of AI in Amazon’s autonomous systems.
A DAY IN THE LIFE
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! ABOUT THE TEAM
Our mission is to push the boundaries of robotics by creating and deploying best-in-class AI agents that seamlessly integrate multimodal inputs like images, videos, catalog data, and sensor data in order to most effectively perceive as well as interact with the world. Our systems are deployed in real-world applications at scale, making scalability a core focus of our work. We combine simulated and real-world data to develop state-of-the-art robotics foundation models, leveraging pre-training and fine-tuning techniques to ensure our models are robust and capable of handling diverse deployment scenarios. Our team is small, but our ambitions are big. Above all, we value creativity, effective communication, and an ability to provide the insights that will move us toward our goals. BASIC QUALIFICATIONS
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience building machine learning models or developing algorithms for business application Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS
Experience using Unix/Linux Experience with popular deep learning frameworks such as MxNet and Tensor Flow 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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Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! ABOUT THE TEAM
Our mission is to push the boundaries of robotics by creating and deploying best-in-class AI agents that seamlessly integrate multimodal inputs like images, videos, catalog data, and sensor data in order to most effectively perceive as well as interact with the world. Our systems are deployed in real-world applications at scale, making scalability a core focus of our work. We combine simulated and real-world data to develop state-of-the-art robotics foundation models, leveraging pre-training and fine-tuning techniques to ensure our models are robust and capable of handling diverse deployment scenarios. Our team is small, but our ambitions are big. Above all, we value creativity, effective communication, and an ability to provide the insights that will move us toward our goals. BASIC QUALIFICATIONS
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience building machine learning models or developing algorithms for business application Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS
Experience using Unix/Linux Experience with popular deep learning frameworks such as MxNet and Tensor Flow 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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