24 hours ago
Bellevue, WA, USA or Seattle, WA, USAMid Level
H1B sponsor
Base Salary
$143k - $193k/yr
Responsibilities
- Design, develop, and evaluate innovative machine learning models for business challenges.
- Drive end-to-end machine learning and GenAI projects with significant ambiguity, scale, and complexity.
- Build proofs of concept, experiment with and optimize models, and deploy them into production.
- Collaborate with scientists and software engineers to deliver machine learning and scientific solutions.
- Establish scalable, efficient, and automated processes for data analysis, model development, validation, and serving.
- Lead AI/ML efforts within the team and across teams while researching innovative scientific approaches.
- Communicate scientific methodology clearly to audiences from diverse backgrounds.
Requirements
- At least 3 years of experience building models for business applications.
- PhD, or a master's degree plus at least 4 years of experience in computer science, computer engineering, machine learning, or a related field.
- Programming experience in Java, C++, Python, or a related language.
- Experience with algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
- Preferred experience using Unix/Linux and in professional software development.
- Preferred experience building large-scale machine learning models and infrastructure for recommendation, advertising ranking, personalization, or search.
- Preferred experience with AI, big data, large-scale distributed systems, online recommendation, personalization, or search.
Benefits
- Comprehensive benefits including medical, dental, vision, prescription, life and AD&D insurance, employee assistance, mental health support, medical advice, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- Flexible work hours and arrangements are part of the workplace culture.
- Access to employee affinity groups, ongoing learning experiences, mentorship, knowledge sharing, and career development resources.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.