Applied Scientist II - Personalization, Customer Intent Science

Experteer Overview In this Applied Scientist role, you’ll use AI and machine learning to build scalable, data-driven solutions that improve Amazon’s customer shopping experience. You’ll work with cross-functional teams to productionize models and create features for a state-of-the-art recommendation engine. The role emphasizes large-scale data analysis, model development, and experimentation to drive business impact. This is a hands-on, innovative position at the intersection of ML, NLP, and distributed systems. Compensation / Benefits * Build and evaluate scalable predictive models for business use * Extract insights from large historical data to optimize processes * Collaborate with software engineers to productionize models and features * Establish automated, scalable processes for data analysis, model validation and deployment * Research and implement novel ML and statistical approaches * Review peer work and provide constructive feedback Tasks * 3+ years of building models for business applications * PhD, or Master’s degree and 4+ years in CS, CE, ML or related field * Experience programming in Java, C++, Python or related languages * Experience in algorithms and data structures, data mining, parallel and distributed computing, numerical optimization Key requirements * health insurance (medical, dental, vision) * 401(k) matching * paid time off * parential leave * RSUs and sign-on incentives * life & AD&D insurance

Experteer Overview In this Applied Scientist role, you’ll use AI and machine learning to build scalable, data-driven solutions that improve Amazon’s customer shopping experience. You’ll work with cross-functional teams to productionize models and create features for a state-of-the-art recommendation engine. The role emphasizes large-scale data analysis, model development, and experimentation to drive business impact. This is a hands-on, innovative position at the intersection of ML, NLP, and distributed systems. Compensation / Benefits * Build and evaluate scalable predictive models for business use * Extract insights from large historical data to optimize processes * Collaborate with software engineers to productionize models and features * Establish automated, scalable processes for data analysis, model validation and deployment * Research and implement novel ML and statistical approaches * Review peer work and provide constructive feedback Tasks * 3+ years of building models for business applications * PhD, or Master’s degree and 4+ years in CS, CE, ML or related field * Experience programming in Java, C++, Python or related languages * Experience in algorithms and data structures, data mining, parallel and distributed computing, numerical optimization Key requirements * health insurance (medical, dental, vision) * 401(k) matching * paid time off * parential leave * RSUs and sign-on incentives * life & AD&D insurance