Applied Scientist - Motion Planning & Control, Amazon Robotics

ENGINEERINGUK; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Join a forward-thinking company at the forefront of robotics innovation! As an Applied Scientist in Motion Planning and Control, you will work with a talented team to develop cutting-edge algorithms that enable robots to navigate complex environments. Your expertise will drive the creation of intelligent systems that enhance interaction between robots and their surroundings. This is a unique opportunity to contribute to groundbreaking advancements in robotics technology, making a global impact. If you're passionate about robotics and eager to tackle real-world challenges, this role is perfect for you!

Qualifikationen

• PhD in relevant fields such as engineering, computer science, or robotics.
• Expertise in motion planning and control for robotic systems.

Aufgaben

• Research and implement motion planning and control algorithms.
• Collaborate with cross-functional teams to develop scalable solutions.

Kenntnisse

Motion Planning

Control Algorithms

Machine Learning

Robotics

Programming (Java, C++, Python)

Ausbildung

PhD in Engineering

PhD in Computer Science

PhD in Machine Learning

PhD in Robotics

Jobbeschreibung

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Applied Scientist - Motion Planning & Control, Amazon Robotics

DESCRIPTION

Do you want to create intelligent, adaptable robots with global impact? At Amazon Robotics, our collaborative team builds high-performance, real-time robotic systems that perceive, plan, and act intelligently alongside humans-at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently through the complex challenges of a company that sells everything, everywhere. 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. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.

We are seeking an Applied Scientist to join our Motion Planning and Control team creating a fleet of manipulation robots at scale. You will apply the latest trends in research to solve real-world problems alongside a world-class team of experts in motion planning, computer vision, deep learning, intelligent control, and semi-supervised and unsupervised learning. Your contributions will drive the development and scaling of advanced robotic systems capable of handling complex, dynamic environments and transforming how robots interact with the world around them.

Key job responsibilities

1. Research, design, implement and evaluate complex motion planning and control algorithms that improve the performance of systems deployed in real-world conditions.
2. Create experiments and prototype implementations of new learning algorithms and prediction techniques.
3. Work closely with software engineering team members to drive scalable, real-time implementations.
4. Collaborate with perception, machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models.
5. Collaborate closely with hardware engineering team members on developing systems from prototyping to production level.
6. Represent Amazon in academia community through publications and scientific presentations.
7. Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.

BASIC QUALIFICATIONS

• PhD in engineering, computer science, machine learning, robotics, or related field
• Expertise in motion planning and/or control for robotic manipulators
• Experience in publishing at major robotics and related conferences (e.g. ICRA, IROS, RSS, CORL) or journals (e.g. IJRR, TRO).
• Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

• Expertise in algorithmic and ML-based motion generation approaches (e.g. reinforcement learning).
• Expertise in closed-loop control with computer vision (e.g. high-frequency visual feedback) and/or haptic sensory feedback
• Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
• Demonstrated experience incubating and productionizing new technology from idea generation through large-scale deployment.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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