Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Amazon Principal Applied Scientist - Planning and Learning, Amazon Robotics in North Reading, Massachusetts

Description

Amazon Robotics is seeking a Principal Applied Scientist to develop state-of-the-art algorithms to control the fleet of 750,000 mobile robots in Amazon’s order fulfillment network. You will have the chance to solve complex planning and coordination problems and see your solutions come to life in Amazon’s warehouses!

In this position, you will own the science of planning and scheduling fleet activities to achieve system-level objectives across a broad range of building types and workflows. You will improve the algorithms that control today’s global robotic fleet to unlock new opportunities for Amazon’s evolving network, as well as develop new capabilities from the ground up. You will explore how to leverage the power of our robotic mobility foundation model to predict the motion of the fleet to enable new ways of making decisions at scale. You will influence the design of future warehouses and the integration of new robotic technologies.

This role offers the chance to have broad impact on the next wave of robotics You will collaborate with brilliant colleagues in a culture that values ingenuity, teamwork and delivering impact. Come join our mission to pioneer the future of automation!

About the team

Our multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including:

  • Planning and coordinating the paths of thousands of robots

  • Dynamic allocation and scheduling of tasks to thousands of robots

  • Learning how to adapt system behavior to varying operating conditions

  • Co-design of robotic logistics processes and the algorithms to optimize them

Our team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards.

We are open to hiring candidates to work out of one of the following locations:

North Reading, MA, USA | Westborough, MA, USA

Basic Qualifications

  • PhD degree in Robotics, CS or related technical field

  • 10+ years of relevant, broad research experience after a PhD degree

  • Experience programming in C++, Java, Python or related language

  • Experience using state of the art planning and machine learning methods

  • Strong publication record with contributions to leading conferences/journals

Preferred Qualifications

  • Extensive experience developing and deploying algorithms for planning and control of real world applications

  • Deep knowledge of adjacent fields, including optimization, heuristic search, and deep learning

  • Comfort working in a fast-paced development environment

  • Ability to identify unsolved problems and creatively invent solutions

  • Proven track record of innovation

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.

DirectEmployers