Applied Scientist, Amazon Prime, Prime AI/ML Science

Amazon • Seattle, WA

1d

About The Position

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 and
Engineers developing models to predict customer behavior and optimize the
customer experience with Amazon Prime. This includes identifying who our
customers are, modeling customer behavior, and creating personalization systems
to optimize the experience. As an ML expert, you will partner directly with
product owners to intake, build, and directly apply your modeling solutions.
There are numerous scientific and technical challenges you will get to tackle in
this role, such as global scalability of models, combinatorial optimization,
cold start problem, accelerated experimentation, short/long term goals modeling,
GenAI based content creation, foundation modeling, and multi-step optimization
leading to reinforcement learning of the customer journey. We employ techniques
from GenAI, LLMs, deep learning, supervised learning, bandits, optimization, and
RL.
As the central science team within Prime, our expertise gets routinely called
upon to weigh in on a variety of topics. We also emphasize the need and value of
scientific research and have developed a strong publication and patent record
(internally/externally) which you will be a part of.
You will also utilize and be exposed to the latest in AI/ML technologies and
infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3,
...), various AI/ML algorithms and techniques (GenAI, LLMs, transformers,
sequential models, Neural Networks,
supervised/unsupervised/semi-supervised/reinforcement learning), and statistical
modeling techniques.

Requirements

• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Nice To Haves

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

Responsibilities

• Build and develop AI and machine learning models and supporting infrastructure at TB scale, in coordination with software engineering teams.
• Leverage GenAI, LLMs, deep learning, reinforcement learning for building production AI/ML systems
• Develop backtesting/offline policy estimation tools and integrate with reporting systems.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model 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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level