Applied Scientist - Multi-agent Solutions, Robotics AI, Fleet Services

Published date Posted on Indeed on May 13, 2022 (14 d ago)
  • Experience building machine learning models or developing algorithms for business application.
  • 1+ years of experience programming in Java, C++, Python or related language
  • PhD (OR Master's Degree plus 10+ years of industry or academic research experience) in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics or a related quantitative field

  • Relevant industry or academic research experience in multi agent systems.
  • Ability to work on a diverse team or with a diverse range of coworkers.

Job summary
A part of Amazon's Robotics Artificial Intelligence, Canvas Technology is using spatial AI to provide end-to-end autonomous delivery of goods. By using state-of-the-art cameras and other sensors, the system perceives its surroundings with unrivaled vision and fidelity. The system combines a mix of high-performance sensors with simultaneous localization and mapping software that builds and continuously updates maps in real-time, completely automatically. It has the capability to ‘see’ and identify different objects, people, vehicles, and places as it moves and react to moving people and vehicles in an intelligent way.

The Canvas fleet is a collection of autonomous vehicles that operate in unstructured spaces. Fleet Services is the team that provides planning, scheduling and resource management for the Canvas fleet and integrates that fleet with the Amazon warehouse.

We are seeking an experienced Applied Scientist to join our team of multi-agent autonomy system experts. In this role, you will be expected to help build multi-agent planning solutions, congestion control and resource management for other system resources. A successful candidate will have strong technical ability, scientific vision, project management skills, great communication skills, and a motivation to achieve results in a dynamic, collaborative environment.

You will be an integral part of the fleet services robotics team and work with others to implement new algorithms for traffic and forecasting.

If you are an experienced Applied Scientist, have a track record of delivering services and algorithmic solutions into production, and are deeply technical and innovative, we want to talk to you.

Key job responsibilities
  • Analyze, design, develop, and test existing and new algorithms and solutions for traffic management & resource scheduling.
  • Research, design, implement and evaluate scientific approaches to a variety of traffic challenges..
  • Create experiments and prototype implementations of new congestion algorithms, traffic forecasting, and scheduling patterns.
  • Deliver high quality production level code (Java or Python) and support systems in production.
  • Collaborate with other functional teams in a robotics organization.
  • Collaborate closely with software 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 robotics, software, science, and operations teams to iterate on systems design and implementation.

  • PhD and 2+ years of relevant industry or academic research experience in developing algorithms for robotic fleet management.
  • 2+ years experience programming in Java, C++, Python or any object oriented language.
  • Track record delivering complex algorithms in areas of scheduling, resource management, queueing, planning and graph theory.
  • Expert in conflict prevention heuristics and resolution algorithms.
  • Knowledge of communication, resource, and environment modeling.
  • SOA experience; AWS experience a plus.
  • Publications at top-tier peer-reviewed conferences or journals.
  • Experience in robotics or autonomous vehicles and strong industry background.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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