Senior Applied Scientist, Alexa Ads
- Amazon HR Ayushi
- 6 - 11 years
- Bengaluru
- 1 month ago
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Job Description
Alexa+ is the world s best Generative AI powered personal assistant / agent for consumers. We are seeking an Applied Scientist to join our newly expanding team in India focused on Alexa 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 deep learning and GenAI 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.
We are building a new science team in Bangalore to solve some of the most impactful problems in computational advertising. This isnt 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 dont 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.
- 6+ years of building machine learning models for business application experience
- PhD, or Masters 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
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark
Job Classification
Industry: InternetFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Manager - Machine LearningEmployement Type: Full timeContact Details:
Company: AmazonLocation(s): Bengaluru+ View Contact
Keyskills: deep learning C++ Data analysis Machine learning Programming Natural language processing Customer experience Distribution system Advertising Python
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Amazon HR Ayushi
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