We are looking for strong candidates to join the transportation science team which owns time estimation, GPS trajectory learning, and sensor fusion from phone data.
You will join a team of GIS and ML domain experts and be expected to develop ML models, present research results to stakeholders, and collaborate with SDEs to implement the models in production.
Key job responsibilities
- Understand business problems and translate them into science problems
- Develop ML models
- Present research results
- Write and publish papers
- Write production code
- Collaborate with SDEs and other scientists
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience in ArcGIS/QGIS, Sedona, and Geopandas
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 $150,400/year in our lowest geographic market up to $260,000/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.