Overview In this role you will advance multimodal AI solutions for video advertising at Amazon Ads, shaping how shoppers discover products and how brands engage with audiences. You'll own end-to-end science work from framing problems to production deployment, collaborating with engineering and product teams to bring AI innovations to market. You will design scalable models and rigorous online experiments that measure impact on shoppers and advertisers. This is a high-impact, research-to-production role in a fast-moving, AI-driven environment.
Compensation / Benefits- health insurance (medical, dental, vision)
- RSUs and sign-on incentives
- 401(k) matching
- paid time off
- parenteral leave
- extensive health and wellness support
Responsibilities- Define and lead science initiatives from problem framing through production deployment in a high-ambiguity environment
- Develop and deploy models spanning computer vision, language, and search and retrieval that operate on multimodal inputs at scale
- Design and analyze large-scale online experiments to measure impact on shopper and advertiser outcomes
- Collaborate with engineering, product, and design to ship science into production
Key requirements- 3+ years of building models for business applications
- Master's degree and 4+ years of CS, CE, ML or related field experience (or PhD)
- Experience programming in Java, C++, Python or related language
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Preferred: Unix/Linux experience
- Collaborates with cross-functional teams (engineering, product, design)
- Comfortable in high-ambiguity environments
- Strong analytical thinking and problem-solving
- Multimodal AI model development (vision, language, retrieval)
- Online experimentation and A/B testing
- Production deployment of ML models
