Description

　　Amazon’s location data and routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon Last Mile Delivery. As part of the Last Mile Geospatial Science team, you’ll partner closely with other scientists in a collegial environment with a clear path to business impact. You will be part of a team which develops machine learning/deep learning models for building maps, learning geocodes, organizing addresses, estimating transit times, and understanding transporter activities. You will be expected to be an innovator as we chart new courses with our delivery support technologies. Successful candidates will have a broad and deep knowledge of machine learning and deep learning, the ability to map models into scalable, production models, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and be able to take an iterative approach to tackle big, long term problems.

　　Key job responsibilities

　　Build or improve machine learning or deep learning models in the areas of map building, address organization, geocode assignment, transit time estimation, or transporter activity classification. Build scalable solutions to clean and featurize large volumes of geospatial and spatiotemporal data. Build research prototypes and scale successful prototypes to production code, working with engineering partners. Write and present scientific reports and papers. Publish internally and externally. File patents.

　　Technologies in use (may vary by project) include Pytorch, Tensorflow, scikit learn, XGBoost, Spark, SageMaker, and a number of AWS technologies for big data processing. Work may also involve exploring applications of cutting-edge LLMs and VLMs to solve problems in our space. Primary programming language is Python; some models involve knowledge of Java.

　　A day in the life

　　We work backwards from the needs of the Amazon delivery associate and ensure that we provide the cleanest and most accurate geospatial model of the world they encounter every day. Internally, we partner closely with Amazon's vehicle routing and delivery planning and transporter experience teams, to ensure we together build safe and efficient routes, coupled with an intuitive and friction-free navigation experience.

　　If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

　　Benefits Summary:

　　Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

　　Medical, Dental, and Vision Coverage

　　Maternity and Parental Leave Options

　　Paid Time Off (PTO)

　　401(k) Plan

　　Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock

　　About the team

　　We are a team of scientists with breadth in ML, with many having expertise in deep learning as well as a domain such as CV or NLP. We use cutting-edge deep learning and computer vision for some applications, such as map building, while leveraging NLP solutions for others, such as organizing addresses. We are currently actively leveraging LLMs and VLMs in many of our solutions. Often, techniques from different areas have to be combined, using innovative modeling approaches, for a successful production solution. We have strong ties to engineering, product, and other science partners within Amazon Last Mile.

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

　　Bellevue, WA, USA

　　Basic Qualifications

　　PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

　　3+ years of building models for business application experience

　　Experience in patents or publications at top-tier peer-reviewed conferences or journals

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

　　Experience building machine learning models or developing algorithms for business application

　　Experience with deep learning frameworks such as Pytorch, Tensorflow, or MXNet

　　Preferred Qualifications

　　Experience using Unix/Linux

　　Experience in professional software development

　　Experience building applications with state-of-the-art LLMs or VLMs

　　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.

　　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 $222,200/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. Applicants should apply via our internal or external career site.