Applied Scientist II, Sponsored Products and Brands

Applied Scientist II, Sponsored Products and Brands

Job ID: 3154707 | Amazon.com Services LLC

About Sponsored Products and Brands

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.

About Our Team

The Search Ranking and Interleaving (R&I) team within Sponsored Products and Brands is responsible for determining which ads to show and the quality of ads shown on the search page (relevance, personalized and contextualized ranking to improve shopper experience, placement, and number of ads). This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of GenAI and ML techniques to continuously explore, learn, and optimize the ranking and allocation of ads on the search page. We are an interdisciplinary team with a focus on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.

Day in the Life

As an Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with search and retail partner teams, software engineers, and product managers to build scalable real‑time GenAI and ML solutions. You will have the opportunity to design, run, and analyze A/B experiments that improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact while broadening your technical skill set.

Key Job Responsibilities

• Solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.
• Drive end‑to‑end GenAI & Machine Learning projects that have a high degree of ambiguity, scale, and complexity.
• Develop real‑time machine learning algorithms to allocate billions of ads per day in advertising auctions.
• Develop efficient algorithms for multi‑objective optimization using deep learning methods to find operating points for the ad marketplace and evolve them.
• Research new and innovative machine learning approaches.

Basic Qualifications

• 3+ years of building models for business application experience.
• 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high‑performance computing.
• Experience applying theoretical models in an applied environment.

Preferred Qualifications

• Experience building machine learning models or developing algorithms for business application.
• Knowledge of architectural concepts and algorithms, schedule tradeoffs, and new opportunities with technical team members.
• Experience implementing algorithms using both toolkits and self‑developed code.

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 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 U.S. 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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.