Applied Scientist, Shopping Convo Foundations - Pre-purchases Science, Shopping Convo Foundations - Pre-purchases Science

## Responsibilities - Research and develop novel machine learning approaches to solve complex catalogue expansion and product attribute challenges. - Design and develop state-of-the-art ML models. - Conduct rigorous experimentation. - Translate scientific breakthroughs into production-ready solutions. - Work closely with ML Engineers and Software Development Engineers to optimize model performance, ensure scalability, and deploy low-latency solutions at Amazon scale. ## Requirements - 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 ## Nice to Have - Experience using Unix/Linux - Experience in professional software development ## Benefits - Base salary range: USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually; USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually - Sign-on payments and restricted stock units (RSUs) - Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave - Equal opportunity employer - Inclusive culture - Work safely and cooperatively with other employees, supervisors, and staff - Adhere to standards of excellence despite stressful conditions - Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service - Follow all federal, state, and local laws and Company policies - Consider qualified applicants with arrest and conviction records - Accommodations for applicants with disabilities Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.