Applied Scientist , TSI Science

Amazon • Seattle, WA

12d

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

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

• Track record of leading large-scale AI transformation projects, and strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP

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

• Our compensation reflects the cost of labor across several US geographic markets.
• The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market.
• Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
• Amazon is a total compensation company.
• Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree