Demo

Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction

Amazon
Palo Alto, CA Full Time
POSTED ON 4/9/2026
AVAILABLE BEFORE 5/7/2026
Description

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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.

Amazon Ads 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 Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.

Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities.

We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers.

Key job responsibilities

As a Machine Learning Applied Scientist, You Will

  • Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
  • Develop scalable and effective machine-learning models and optimization strategies to solve business problems
  • Run regular A/B experiments, gather data, and perform statistical analysis
  • Work closely with software engineers to deliver end-to-end solutions into production
  • Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving
  • Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products and Brands business

About The Team

We are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products and Brands business. We empower every customer with a customized discovery experiences from back-end optimization (such as customized response prediction models) to front-end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.

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
  • Experience with neural deep learning methods and machine learning

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually

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


Company - Amazon.com Services LLC

Job ID: A10385282

Salary.com Estimation for Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction in Palo Alto, CA
$151,144 to $189,853
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction?

Sign up to receive alerts about other jobs on the Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$145,337 - $174,569
Income Estimation: 
$153,127 - $203,425
Income Estimation: 
$139,626 - $193,276
Income Estimation: 
$164,650 - $211,440
Income Estimation: 
$130,030 - $173,363
Income Estimation: 
$101,387 - $124,118
Income Estimation: 
$119,030 - $151,900
Employees: Get a Salary Increase
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at Amazon

  • Amazon St Georges, DE
  • Description Join our Global Medical and Health (GMH) Team within Workplace Health & Safety, to drive occupational health excellence within Amazon's operati... more
  • 9 Days Ago

  • Amazon Johnston, RI
  • Description This is not a corporate, remote or office-based position. This is a full-time, entry level position located within one of Amazon’s fulfillment ... more
  • 9 Days Ago

  • Amazon Johnston, RI
  • Description At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven le... more
  • 9 Days Ago

  • Amazon Boise, ID
  • Description At eero we pride ourselves in providing every customer a world class experience.Our mission is to make technology in homes and businesses just ... more
  • 9 Days Ago


Not the job you're looking for? Here are some other Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction jobs in the Palo Alto, CA area that may be a better fit.

  • Amazon Palo Alto, CA
  • Description About Sponsored Products and Brands The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape throug... more
  • 8 Days Ago

  • Amazon Palo Alto, CA
  • Description The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative and agentic AI technolo... more
  • 2 Days Ago

AI Assistant is available now!

Feel free to start your new journey!