Senior Applied Scientist, Sponsored Products and Brands

Amazon Inc.; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon Ads is hiring a Senior Applied Scientist for Sponsored Products and Brands in Seattle. You will build scalable machine learning models, optimize advertising performance, and work on LLM-based inference infrastructure across our global platforms.

The role requires strong ML engineering background, hands-on experience with large-scale systems, and collaboration with engineers and scientists to deliver impactful ads with advanced AI capabilities.

Qualifications

• 3+ years building ML models for business applications.
• PhD or Master’s degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Develop scalable and effective ML models and optimization strategies to solve business problems.
• Research new ML modeling approaches to optimize Sponsored Products.
• Enhance scalability of large-scale training and real-time inference systems.
• Pioneer development of LLM inference infrastructure for GenAI workloads at Amazon Ads scale.

Skills

ML modeling

Java

C++

Python

Education

PhD or master's

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Senior Applied Scientist, Sponsored Products and Brands

Job ID: 10595561 | Amazon.com Services LLC

About Sponsored Products and Brands

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

About our team

SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Applied Scientist with machine learning engineering background who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine learning systems. We are looking for a talented Applied Scientist with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.

Key job responsibilities

As an Applied Scientist, you will:

• Develop scalable and effective machine learning models and optimization strategies to solve business problems.


• Conduct research on new machine learning modeling to optimize all aspects of Sponsored Products business.


• Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.


• Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.

Basic Qualifications

• 3+ years of building machine learning models for business application experience


• PhD, or Master's degree and 6+ years of applied research experience


• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.


• Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 183,800.00 - 248,700.00 USD annually

USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually

USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.