Sr. Applied Scientist, Ads Decision Science

Amazon • New York, NY

20h

About The Position

We are seeking a Sr. Applied Scientist to revolutionize how we deliver personalized advertising solutions to our worldwide customers. In this role, you will build autonomous AI systems that proactively identify advertiser pain points and deliver optimal recommendations across multiple communication channels without requiring explicit customer input. The Challenge How can we deliver the most personalized advertising offerings to our worldwide customers? In the era of Agentic AI, how can we build autonomous systems which identify advertiser pain points and offer best recommendations across multiple communication channels? How do we do this without asking anything to our customers and know what they need? Our Mission Our team's mission is to deliver the best strategy to our WW advertisers whenever and wherever they need it. What You'll Do Using Amazon's large scale computing resources, you will ask research questions about advertiser behavior, build state of the art recommender models to generate recommendations, and deploy these models directly on the ad delivery channels. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit advertisers and the retail business and you will measure the impact using scientific tools. What We're Looking For We are looking for a passionate, hard working, and talented Sr. Applied Scientist who has experience building mission critical, high volume applications that customers love. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of new generation ads products seen by millions of customers everyday. About the team The Amazon Ads Marketing Decision Science Team innovates the future of marketing tech by creating interactive conversational agents, visual and text content generation capabilities, recommender systems to give the best strategies to our advertisers to maximize their ROI with one click enablement, behavioral segmentation models to understand our customers in depth, content measurement science to understand the best content components resonating with each customer segment, and many more. Our mission is to personalize the communication strategy of one of the world's top digital advertising tech companies.

Requirements

• PhD, or Master's degree and 6+ years of applied research experience
• 3+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• 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.
• Knowledge of programming languages such as C/C++, Python, Java or Perl

Responsibilities

• Using Amazon's large scale computing resources, you will ask research questions about advertiser behavior
• build state of the art recommender models to generate recommendations
• deploy these models directly on the ad delivery channels
• participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML
• Your work will directly benefit advertisers and the retail business and you will measure the impact using scientific tools

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree