Urgent! Applied Scientist II, Amazon Selling Partner Trust & Store Integrity Science Job Opening In Seattle – Now Hiring Amazon
Description
Are you passionate about applying machine learning and advanced statistical techniques at the scale of one of the world's larges product catalogs?
Do you want to be at the forefront of developing innovative solutions that safeguard Amazon's product catalog while empowering millions of Selling Partners to thrive?
Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions?
If yes, we invite you to join the Amazon Risk Intelligence Science Team.
We're seeking an exceptional scientist who can revolutionize how we protect our marketplace through intelligent automation.
As a key member of our team, you'll develop and deploy state-of-the-art machine learning systems that analyze millions of product listings daily, ensuring the integrity and trustworthiness of Amazon's catalog while scaling our operations to new heights.
Your work will directly impact the quality of the shopping experience for hundreds of millions of customers worldwide.
Key job responsibilities
Use machine learning and statistical techniques to create scalable catalog abuse detection solutions that identify listing violations, selling partner integrity, and content manipulation
Innovate with the latest GenAI technology to build highly automated solutions for efficient catalog monitoring, content verification, and automated listing compliance
Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment
Learn, explore and experiment with the latest machine learning advancements to protect selling partner trust and integrity
A day in the life
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 3+ years of CS, CE, ML or related field experience
- 3+ years of building machine learning models or developing algorithms for business application 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
Preferred Qualifications
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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.
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Unlock Your Applied Scientist Potential: Insight & Career Growth Guide
Real-time Applied Scientist Jobs Trends in Seattle, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Applied Scientist in Seattle, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 15833 jobs in United States and 486 jobs in Seattle. This comprehensive analysis highlights market share and opportunities for professionals in Applied Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Amazon is currently hiring and seeking a Applied Scientist II, Amazon Selling Partner Trust & Store Integrity Science to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Amazon adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Applied Scientist II, Amazon Selling Partner Trust & Store Integrity Science Jobs United States varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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