Applied Scientist II Prime AI/ML for Personalization

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon.com Services LLC in Seattle, WA seeks a scientist to model customer behavior using ML/AI on TB-scale data to improve Prime. You'll partner with product owners to ingest, build, and apply modeling solutions, focusing on personalization and content recommendations.

Work on GenAI/LLMs, foundation models, reinforcement learning for customer journey optimization, and scalable analytics. We use causal econometric modeling and a mix of supervised and reinforcement learning, with cutting-edge AWS

Qualifications

• Experience building models for business applications.
• Experience with ML/AI techniques and data mining.
• Strong programming skills in Java/C++/Python.

Responsibilities

• Stay abreast of current literature in the field and advance/build novel science solutions leveraging SoTA solutions.
• Build and develop AI/ML models and supporting infrastructure at TB scale, in coordination with software engineering teams.
• Leverage Deep Learning and GenAI solutions for building foundation models and personalized optimization solution.
• Develop offline policy estimation tools and integrate with measurement systems/econometric models.
• Establish scalable, efficient, automated processes for large scale data analyses, science development, science validation and model implementation.
• Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes.
• Work closely with the business to understand their problem space, identify the opportunities and formulate the problems.
• Use AI/machine learning, data mining, statistical techniques and others to create actionable, meaningful, and scalable solutions for the business problems.
• Design, develop and evaluate highly innovative models and statistical approaches to understand and predict customer behavior and to solve business problems.

Skills

3+ years building models for business

Java

C++

Python

Education

PhD, or Master’s degree and 4+ years in CS/CE/ML or related field

Tools

AWS

SageMaker

Job description

Amazon.com Services LLC in Seattle, WA seeks a scientist to model customer behavior using ML/AI on TB-scale data to improve Prime. You'll partner with product owners to ingest, build, and apply modeling solutions, focusing on personalization and content recommendations.

Work on GenAI/LLMs, foundation models, reinforcement learning for customer journey optimization, and scalable analytics. We use causal econometric modeling and a mix of supervised and reinforcement learning, with cutting-edge AWS