Applied Scientist II, Alexa Ads
Core
Building machine learning models for natural language processing, recommendation systems, and personalization to integrate advertising into the Alexa experience.
Role type
Applied Scientist (NLP/Recommendation Systems)
Builds
Agentic Advertising products and personalized user interactions for Alexa
Domain
Consumer AI, Computational Advertising, Voice-First Interfaces
Deliverable
production ML models
Required skills
NLP, recommendation systems, deep learning, A/B experimentation, scalable ML pipelines, Java, C++, Python, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Design and develop innovative ML and deep learning models for NLP and recommendation systems; conduct hands-on data analysis and build scalable ML pipelines; design and run A/B experiments to measure model impact; collaborate with engineers to deploy models into high-scale, real-time production environments.
Seniority
Mid-Senior, hands-on IC
