Applied Scientist, TSI Science

Amazon • Seattle, WA

1d

About The Position

Do you want to join an innovative team of scientists who use machine learning
and statistical techniques to help Amazon provide the best customer experience
by preventing eCommerce fraud? Are you excited by the prospect of analyzing and
modeling terabytes of data and creating state-of-the-art algorithms to solve
real world problems? Do you like to own end-to-end business problems/metrics and
directly impact the profitability of the company? Do you enjoy collaborating in
a diverse team environment?

If yes, then you may be a great fit to join the Amazon Selling Partner Trust &
Store Integrity Science Team. We are looking for a talented scientist who is
passionate to build advanced machine learning systems that help manage the
safety of millions of transactions every day and scale up our operation with
automation.

You will be working within a dynamic, diverse, and supportive group of
scientists who share your passion for innovation and excellence.

You'll be working closely with business partners and engineering teams to create
end-to-end scalable machine learning solutions that address real-world problems.
You will build scalable, efficient, and automated processes for large-scale data
analyses, model development, model validation, and model implementation.

You will also be providing clear and compelling reports for your solutions and
contributing to the ongoing innovation and knowledge-sharing that are central to
the team's success.

Requirements

• 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

• Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
• Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
• Learn, explore and experiment with the latest machine learning advancements to create the best customer experience

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
• Education Level: No Education Listed