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Applied Scientist, Alexa Ads

ADCI - Karnataka -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

RDBMS
Statistics
Oracle
Data mining
Doctoral degree
Research
Java
Master's degree
SQL
C++
C
Machine learning
Natural language processing
Data warehouse
Python

Full job description

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

Experience programming in Java, C++, Python or related language
Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
1+ years of building models for business application experience
PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing

PREFERRED QUALIFICATIONS

Have publications at top-tier peer-reviewed conferences or journals
Experience with and deep understanding of advertising technologies (i.e., ad server, DSP)
Experience (technical and operational) with multiple domain areas of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.)
Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

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