Senior Applied Scientist, Amazon Industrial Robotics

Amazon•N.reading, MA

About The Position

Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic manipulation, locomotion, and human-robot interaction. We are seeking a Senior Applied Scientist to develop innovative and scalable solutions in motion planning and feedback controls for complex robotic systems. In this role, you will take responsibility for developing robot physics models, performing analysis, and devising and implementing algorithms for the control and estimation of robotic systems. You will collaborate with a world-class team of experts in perception, machine learning, motion planning, and feedback controls to innovate and develop solutions for complex real-world problems. As part of your work, you will investigate applicable academic and industry research to develop, implement, and test solutions that support product features. You will also design and validate production designs. To succeed in this role, you should demonstrate a strong working knowledge of physical systems, a desire to learn from new challenges, and the problem-solving and communication skills to work within a highly interactive and experienced team. Candidates must show a hands-on passion for their work and the ability to communicate their ideas and concepts both verbally and visually.

Requirements

Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
5+ years of industry or academic research experience
Experience in building machine learning models for business application
5+ years of industry or academic research experience in applied research and development in robotics, with a focus on motion planning and feedback controls.
Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Proven ability to innovate and develop robust and scalable solutions to complex robotics problems.
Experience in trajectory optimization for multi-degree-of-freedom (multi-DOF) robotic systems
Experience in designing controllers using Model Predictive Control, Optimal Control, etc
Experience in developing and deploying reinforcement learning algorithms in real-world robotics applications

Responsibilities

Conduct research, design, implement, and assess feedback control and motion planning algorithms, ensuring integration across various disciplines.
Develop experiments and build prototypes to implement control algorithms, planners, and optimization techniques.
Collaborate closely with software engineering teams to ensure scalable, real-time implementation of algorithms.
Partner with cross-functional engineering teams to deploy algorithms from initial prototyping to production-level implementation.
Engage with stakeholders across hardware, scientific, and operational teams to iterate on system design and implementation.

Benefits

Our compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market.
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Amazon is a total compensation company.
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits .

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