The Fleet Science team at Amazon Robotics is a multi-disciplinary science team that includes scientists with backgrounds in planning and scheduling, optimization, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-world robotic warehouses, including: (1) Planning and coordinating the paths of thousands of robots (2) Dynamic allocation and scheduling of tasks to thousands of robots (3) Learning how to adapt system behavior to varying operating conditions and (4) Co-design of robotic logistics processes and the algorithms to optimize them.
- PhD in a relevant field, received within 2 years of starting the program
- Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
- Experience in data science and quantitative research
- Proficiency in technologies relevant to the subfield
- Ability to independently deliver results in a fast-paced environment
- Publications at top-tier, peer-reviewed conferences and/or journals
- Exceptional verbal and written communication skills
- Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
- Required application materials:
CV, which lists all peer-reviewed publications,
Research statement that outlines your research achievements and future research interests, and
A journal article or conference paper that demonstrates your domain expertise.
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The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
N.Reading, MA, USA - 151,200.00 USD Annually