Applied Scientist - GenAI, Trust and Store Integrity Science

Amazon • Seattle, WA • 1w ago

Description

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.

Key job 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

A day in the life

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.

Basic Qualifications

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

2+ years of building models for business application experience

Experience in patents or publications at top-tier peer-reviewed conferences or journals

Experience in solving business problems through machine learning, data mining and statistical algorithms

Preferred Qualifications

PhD in computer science, machine learning, engineering, or related fields

Experience in professional software development

Deep expertise in computer vision, natural language processing and generative AI technologies

Strong track record of delivering ML solutions at scale

Experience with large language models and their enterprise applications

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon

Go to Apply

Share this job

Similar Jobs

Security Officer Government Dispatch Full-Time

Allied Universal • Seattle, WA • 1h ago

Retail & Hospitality

Allied Universal®, North America's leading security and facility services company, offers rewarding careers that provide you a sense of purpose. While working in a dynamic, welcoming, and collaborative workplace, you wil...

1h ago

Go to Apply

Maintenance Mechanic

Aerotek • Federal Way, WA • 10h ago

Retail & Hospitality

Job Title: Maintenance Mechanic Job Description The Plant Maintenance Technician will ensure plant production equipment continues to operate safely and efficiently. The successful candidate will utilize their skills to r...

10h ago

Go to Apply

barista - Store# 07941, 4147 UNIVERSITY WAY AVENUE

Starbucks • Seattle, WA • 11h ago

Retail & Hospitality

Crafting the world's finest coffee, one meaningful moment at a time We believe in creating a warm and welcoming space where every cup of coffee sparks connection. Every shift is a chance to brighten someone's day. Whethe...

11h ago

Go to Apply