Senior Applied Scientist, Prime Video Ads Job
Employer: Akshata Bhat
SpiderID: 14206060
Location: Arlington, Virginia, United States, Virginia
Posted: 7/9/2026
Wage: $167,100 – $226,100 USD
Priority Review Date: 8/8/2026
Job Code / NOC / SOC:
Category: Information Technology
Job Description:
Job Description: Senior Applied Scientist, Prime Video Ads
Company: Amazon.com Services
Please Apply to Job Using the URL
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.
Company: Amazon.com Services
Please Apply to Job Using the URL
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.
Contact Information:
| Contact Name: Akshata Bhat | Type: Staffing Agency |
| Company: CyOpsPath | |
| Web Site: https://www.cyopspath.com/job-detail/senior-applied-scientist-prime-video-ads-amazoncom-services-arlington-2811910 | |