Sr Applied Scientist, WW Prime , WW Prime - AI/ML Science

About the role

Interested in modeling and understanding customer behavior through machine learning, artificial intelligence, and data mining over TB scale data with huge business impact on millions of customers? Join our team of Scientists developing models to model customer behavior and optimize the customer experience with Amazon Prime. This includes understanding who our customers are, long-term value of the Prime membership program, and creating the right personalized framework for content and subscription optimization.

Responsibilities

• Partner directly with product owners to intake, build, and directly apply modeling solutions.
• Optimize/fine-tune GenAI/LLM solutions for Prime personalization.
• Build GenAI foundation models.
• Ensure global scalability of models.
• Tackle combinatorial optimization.
• Address cold start problem.
• Conduct accelerated experimentation.
• Model short/long term goals.
• Perform multi-step optimization leading to reinforcement learning of the customer journey.
• Employ techniques from GenAI/LLMs, supervised/semi-supervised learning, deep learning, transformer architectures, causal econometric modeling, and reinforcement learning.
• Weigh in on a variety of topics as the central science team within Prime.
• Contribute to scientific research, publication, and patent record.
• Utilize and be exposed to the latest ML technologies and infrastructure: AWS technologies (EMR/Spark, Sagemaker, DynamoDB, S3, ClaudeCode), various AI/ML algorithms and techniques (Deep Learning, GenAI/LLMs, transformers, supervised/unsupervised/semi-supervised/reinforcement learning), and statistical modeling techniques.