Applied Scientist II, Alexa Ads

Amazon Inc.; Bengaluru; On-site; INR 3,600,000 - 6,000,000; Full time

Job summary

Amazon's Alexa Ads team in India is expanding, seeking an Applied Scientist to build ML models for NLP, recommendations, and personalization that integrate advertising with the Alexa experience and shopping.

You will collaborate with scientists, engineers, and product managers across Bangalore, Seattle, and Sunnyvale to take models from conception to production, delivering production-ready research and contributing to the team’s publishing goals.

Qualifications

• 3+ years building models for business applications.
• PhD or Master’s degree with 4+ years in CS/CE/ML.
• Experience programming in Java, C++, Python.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel/distributed computing, HPC.

Responsibilities

• Design, develop, and evaluate ML models for NLP, recommendation systems, and personalization.
• Conduct hands-on data analysis and build scalable ML pipelines.
• Design and run A/B experiments to measure impact on customer experience and ad performance.
• Collaborate with software engineers to deploy models into high-scale real-time production environments.

Skills

Model development

ML/AI

Java

C++

Python

Publications

Algorithms

Data mining

Distributed computing

Education

PhD

Master's degree + 4+ years

Tools

Unix/Linux

Job description

Alexa+ is the world’s best Generative AI powered personal assistant / agent for consumers, and is becoming the conversational AI interface for Amazon services with the launch of Alexa for Shopping on Amazon.com and Amazon mobile app. At Alexa Ads, we are creating industry's first and most advanced Agentic Advertising products to drive Agentic Commerce. We are seeking an Applied Scientist to join our newly expanding team in India focused on Alexa Agentic/Conversational Ads and Personalization. In this role, you will build machine learning models that seamlessly and naturally integrate relevant advertising into the Alexa experience while deeply personalizing user interactions. You will work closely with other scientists, engineers, and product managers to take models from conception to production.

Key Job Responsibilities

• 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.
• Collaborate with software development engineers to deploy models into high‑scale, real‑time production environments.

About the Team

We are building a new science team in Bangalore to solve some of the most impactful problems in computational advertising. 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. Key points to note about the team:

• 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.
• Direct business impact — your models directly drive revenue. No yearly cycles to see if your work matters.
• Global scope, local autonomy — collaborate with scientists and engineers across Seattle, Sunnyvale, and Bangalore, but own your problem space end‑to‑end.
• Ship AND Publish: We encourage top‑tier publications (NeurIPS, ACL, EMNLP, KDD, ICML, WWW) while ensuring your research hits production.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.