Applied Scientist II, Alexa Ads

About the role

This isn't about tweaking existing models as we are rethinking how ads are ranked, priced, and personalized across voice-first and screen-first surfaces. These are problems that don't have textbook solutions. 🧪 Greenfield team - you are not joining a mature org with rigid processes. You will shape the science roadmap, pick the problems, and define the culture from day one.

What you'll do

• Build machine learning models that seamlessly and naturally integrate relevant advertising into the Alexa experience while deeply personalizing user interactions
• Work closely with other scientists, engineers, and product managers to take models from conception to production
• Design, develop, and evaluate innovative machine learning and deep learning models for natural language processing (NLP), recommendation systems, and personalization
• Conduct hands-on data analysis and build scalable ML pipelines
• Design and run A/B experiments to measure the impact of new models on customer experience and ad performance

What you need

• 4–7 yrs of experience
• Machine learning
• Python
• Data structures
• IPR
• C++
• Java
• PhD or B.Tech or B.E.

Good to have

• Linux
• NLP
• LLMs
• Deep learning