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
- Experience with building and deploying AI systems in manufacturing automation
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