Overview In this role you will lead ads measurement solutions end-to-end, from concept to production, applying ML, NLP, and causal inference to quantify advertiser impact across online and offline channels. You will collaborate with ML researchers and engineers to design evaluation frameworks, productionize models, and deliver actionable insights to customers. You will share findings with the scientific community and mentor junior scientists, shaping the team's direction. This position offers the chance to influence measurement tooling and AI-driven workflows at scale within Amazon Ads.
Compensation / Benefits- health insurance
- 401(k) matching
- paid time off
- parential leave
- RSUs
- sign-on payments
Responsibilities- Invent and solve ambiguous ads measurement problems using deep scientific expertise
- Define evaluation criteria and clear success metrics for projects
- Own code from critical-path components to production handoff with engineers
- Collaborate with other scientists on large, multi-faceted projects
- Share and publish results with internal and external audiences
- Communicate complex ideas clearly to technical and non-technical stakeholders
- Mentor junior scientists and participate in hiring processes
Key requirements- 3+ years of building models for business application
- 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, high-performance computing
- Clear communication to technical and non-technical audiences
- Mentoring junior scientists
- Autonomous work style
- Generative AI
- NLP
- Computer Vision
