Amazon Senior Applied Scientist Amazon Robotics 

United States, Washington, Seattle 

191665125

Key job responsibilities
• Research, design, implement and evaluate complex motion planning, controls, and decision-making algorithms that improve the performance of systems deployed in real-world conditions.
• Apply recent advances in topics such as planning optimization, model-based controllers, or grasp affordance learning to our systems in the lab and in the field.
• Lead major initiatives, mentor more junior scientists, and raise the bar for applying science to scalable robotic products.
• Work closely with software engineers to drive scalable, real-time implementations.
• Collaborate with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions.
• Represent Amazon in academia community through publications and scientific presentations.
• Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- 5+ years of relevant broad industry or academic applied research experience post PhD in developing algorithms for robotic motion planning, perception, control, and decision-making.

- 7+ years of applied research experience post PhD and extensive algorithm development experience for robotic motion planning, perception, control, and decision-making.
- Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
- Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, building infrastructure for engineering/science users, etc.
- Expertise building and testing real-time systems.
- Experience supporting large-scale infrastructure and tool development for scientific/engineering users.
- Demonstrated experience incubating and productizing new technology from idea generation through implementation.
- Experience in professional software development.
- Publications at top-tier peer-reviewed conferences or journals.