Senior Applied Scientist — Multimodal Personalization & Discovery

Prime Video & Amazon MGM Studios; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Prime Video is seeking a self-motivated Applied Scientist to lead end-to-end ML initiatives across Prime Video experiences. You will develop foundation models for content understanding and customer viewing trajectories, collaborating with engineers and product managers to ship impactful, scalable solutions.

You will publish research findings and stay at the forefront of foundation models and time-series analysis, while contributing to a diverse, inclusive team culture at Amazon.

Qualifications

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

Responsibilities

• Develop foundation models for content understanding using deep learning and multimodal learning techniques to analyze video, audio, and text.
• Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories.
• Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences.
• Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses.
• Effectively communicate technical and non-technical ideas with teammates and stakeholders.

Skills

ML model building

Deep learning

Java/C++/Python

Education

PhD or Master+ 6+ years

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Prime Video is seeking a self-motivated Applied Scientist to lead end-to-end ML initiatives across Prime Video experiences. You will develop foundation models for content understanding and customer viewing trajectories, collaborating with engineers and product managers to ship impactful, scalable solutions.

You will publish research findings and stay at the forefront of foundation models and time-series analysis, while contributing to a diverse, inclusive team culture at Amazon.