Senior Applied Scientist - Robotics Controls

Overview

Senior Applied Scientist - Robotics Controls at Amazon Robotics responsible for designing advanced robotic systems with intelligent perception, learning, and action us on feedback control and state estimation for robotic systems, prioritizing contact-rich manipulation tasks. Form physics-based models, conduct analytical and numerical studies, and design control and estimation algorithms that integrate fundamental principles with data-driven approaches. Collaborate with perception, machine learning, motion planning, and feedback controls teams to develop solutions for complex real-world problems.

Investigate applicable research to develop, implement, and test solutions that support product features and production designs. Demonstrate strong knowledge of physical systems, a willingness to learn, problem-solving, and communication skills to work within a highly interactive team.

Key responsibilities include designing and evaluating feedback control, estimation, and motion-planning algorithms; developing experiments, simulations, and hardware prototypes; collaborating with software engineering to enable scalable, real-time, maintainable implementations; partnering with cross-functional teams to transition algorithms from prototyping to production-ready solutions; and engaging with stakeholders to drive integration of control and estimation capabilities into Amazon Robotics platforms.

• Research, design, implement, and evaluate feedback control, estimation, and motion-planning algorithms, ensuring effective integration with perception, manipulation, and system-level components.
• Develop experiments, simulations, and hardware prototypes to validate control algorithms and optimization techniques in contact-rich manipulation and other challenging scenarios.
• Collaborate with software engineering teams to enable scalable, real-time, and maintainable implementations of algorithms in production systems.
• Partner with cross-functional teams across hardware, systems engineering, science, and operations to transition algorithms from early prototyping to robust, production-ready solutions.
• Engage with stakeholders at all levels to iterate on system design, define requirements, and drive integration of control and estimation capabilities into Amazon Robotics platforms.

Amazon offers a full range of benefits that support employees and eligible family members. Benefits can vary by location and employment status. Typical benefits for regular, full-time employees include medical, dental, vision coverage; maternity and parental leave options; paid time off; and a 401(k) plan. Amazon is an equal opportunity employer and does not discriminate on the basis of protected status.

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Basic Qualifications

• 3+ years of experience building machine learning models for business applications
• PhD, or Master’s degree with 6+ years of applied research experience
• Experience programming in Java, C++, Python or related languages
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLlib, MxNet, Tensor Flow, Num Py, Sci Py
• Experience with large-scale distributed systems such as Hadoop, Spark

Salary and benefits information:
The base salary range for this position is listed below. Your Amazon package may include sign-on payments and RSUs. Final compensation is determined by experience, qualifications, and location. Benefits include health insurance, 401(k) matching, paid time off, parental leave, and more. Learn more about our benefits at .

USA, MA, North Reading -  -  USD annually

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.