Applied Scientist

Seeking an experienced Applied Scientist! In this role you will apply the latest trends in research to solve real-world problems. You will collaborate with a team of scientists and engineers building these applications. We are looking for scientists with interest in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities
• Research, design, implement and evaluate complex perception, motion planning, and decision making algorithms integrating across multiple disciplines and leveraging machine learning.
• Create experiments and prototype implementations of new learning algorithms and prediction techniques.
• Work closely with software engineering team members to drive scalable, real-time implementations.
• Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models.
• Collaborate closely with hardware engineering team members on developing systems from prototyping to production level.
• 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.

We are looking for applied scientists with expertise in any of the following:

- Computer vision (including but not limited to tracking, object recognition, visual SLAM, motion prediction, reconstruction)
- Machine learning (e.g. reinforcement learning, supervised learning, Bayesian methods, online learning systems, ML for robotics)

A day in the life
We are looking for scientists with interest in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.

Basic Qualifications

- PhD in engineering, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience programming in C++, C#, Python or related language
- Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, or simulation.
- Extensive experience with physical hardware and robot simulators
- MSc in Mechanical Engineering

Preferred Qualifications

- Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV) or journals (IJRR, IEEE TRO, JMLR).
- Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
- Expertise building and testing real-time systems.
- Demonstrated experience incubating and productionizing new technology from idea generation through implementation. Experience implementing algorithms using toolkits and self-developed code
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Familiar with the core undergraduate curriculum of computer science
- Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule trade-offs and new opportunities with technical team members
- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form
- MSc in Mechanical Engineering

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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