Senior Applied Scientist, Personalization & Discovery (Video)

Prime Video & Amazon MGM Studios; Sunnyvale (CA); On-site; USD 192,000 - 260,000; Full time

Job summary

Prime Video is seeking an Applied Scientist to own hands-on ML research and practical implementation across video content understanding. You will build and guide models from ground up, impacting Prime Video customer experiences worldwide.

The role requires deep learning expertise, strong collaboration with engineering and product teams, and a track record of publishing research. This position offers a path for growth and exposure to production-grade systems and large-scale data.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD, or Master's degree plus 6+ years of applied research experience.
• Proficiency in Java, C++, Python or related languages.
• Experience with neural deep learning methods and ML techniques.

Responsibilities

• Develop foundation models for content understanding using state-of-the-art deep learning and multimodal techniques.
• Build time-sequence foundation models to understand and predict user behavior and viewing trajectories.
• Collaborate with engineers and product managers to design, implement and launch end-to-end solutions across Prime Video experiences.
• Design and run offline and online (A/B) experiments to evaluate proposed solutions based on data analyses.
• Communicate complex technical concepts clearly to teammates and stakeholders.
• Stay updated on advances in foundation models, multimodal learning, and time series analysis.
• Publish research findings in top conferences and journals.

Skills

ML Modeling

Java

Python

C++

Deep Learning

Education

PhD or MS + 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Prime Video is seeking an Applied Scientist to own hands-on ML research and practical implementation across video content understanding. You will build and guide models from ground up, impacting Prime Video customer experiences worldwide.

The role requires deep learning expertise, strong collaboration with engineering and product teams, and a track record of publishing research. This position offers a path for growth and exposure to production-grade systems and large-scale data.