Senior Applied Scientist, Prime Video Ads

Senior Applied Scientist, Prime Video Ads Location: Arlington, VA (Options for New York, NY and Seattle, WA) Compensation: $167,100 – $226,100 USD annually (Arlington/Seattle base range) Role Overview As a Senior Applied Scientist, you will shape the science foundation for Prime Video’s ad‑supported streaming platform. You will lead the development of machine learning and deep learning models to personalize the advertising experience for over 100 million customers, balancing revenue generation with long‑term user engagement. Key Responsibilities Model Development: Design and deploy large‑scale deep learning architectures (e.g., multi‑task learning, embedding representations) to predict customer behavior. Causal Inference & Experimentation: Design large‑scale A/B experiments to measure and attribute minor engagement signals and navigate competing business objectives. Cross‑Functional Collaboration: Partner with engineering teams to scale models under strict production latency constraints and translate product goals into machine learning solutions. Strategic Leadership: Define the team’s scientific roadmap and identify high‑impact research directions. Qualifications Education & Experience: PhD with 3+ years, or a Master's degree with 6+ years of applied research experience building ML models for business applications. Technical Skills: Proficiency in Java, C++, or Python, alongside experience with neural deep learning frameworks (PyTorch, JAX preferred). Preferred: Familiarity with distributed systems (Hadoop, Spark) and large language model (LLM) fundamentals. #J-18808-Ljbffr Akshata Bhat