Geospatial Science Model Developer at Amazon
hace 5 días
Amazon is a leader in e-commerce and cloud computing, offering a wide range of products and services to customers worldwide. The company has a strong commitment to innovation, customer satisfaction, and employee growth.
Job Overview
We are seeking an experienced Geospatial Science Model Developer to join our team in Seattle, WA. This role will involve developing machine learning models for transportation science applications, working closely with GIS and ML domain experts, and collaborating with SDEs to implement models in production.
Key Responsibilities
- Translate business problems into scientific problems and develop effective solutions using geospatial data and machine learning techniques.
- Present research results to stakeholders and collaborate with the team to publish papers and share knowledge.
- Write and maintain high-quality production code, ensuring efficient execution and scalability.
- Work collaboratively with other scientists and SDEs to integrate models into our production environment.
Requirements
- PhD or Master's degree in Computer Science, Engineering, or related field with 3+ years of experience in building models for business applications.
- Strong background in algorithms, data structures, and numerical optimization, with experience in programming languages such as Java, C++, Python.
- Familiarity with Unix/Linux environments and parallel/distributed computing.
- Experience publishing research papers at top-tier conferences or journals.
Benefits
- Average salary for this position is $140,000 - $200,000 per year, depending on experience.
- A comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
- The opportunity to work with a diverse and talented team, contributing to cutting-edge projects and innovations.
About Amazon
At Amazon, we value diversity, equity, and inclusion. We are committed to creating an inclusive workplace where everyone can thrive and contribute their best work. We are an equal opportunities employer and do not discriminate based on race, gender, age, disability, or any other protected status.
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