Applied Scientist, Prime Air

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide visible benefit to customers, this is your opportunity.

Are you looking for an opportunity to apply your technical skills to a project that will change the world? Do you want to apply advanced mathematical modeling and algorithm design to solve real world problems?

Come work on the Amazon Prime Air Team!

We are looking for an applied scientist with expertise in path planning to join our team.

As an Applied Scientist, you will contribute to the Prime Air project by working with systems and software engineers and scientists, participate in the science community at Amazon, and collaborate with academic researchers in the broader academic community. Within Prime Air our Science community values teamwork and supports continued learning. Furthermore, our builder culture means that Scientists and Software Development Engineers work closely together to invent and construct solutions that must work at scale.

This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.


RESPONSIBILITIES:

- Prototype and implement new algorithms and concepts for path planning, detect-and-avoid, and air traffic management systems.

- Perform studies to determine the impacts of new design concepts on overall system performance.

- Collaborate with product managers and engineering teams to design and implement software solutions for challenges.

- Drive collaborative research and creative problem solving.

- Constructively critique peer research and mentor junior scientists and engineers.

- Contribute to progress of the Amazon and broader research communities by producing publications.

Basic Qualifications

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.