Alexa is the worlds 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 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.
- 3 years of building models for business application experience
- PhD or Masters 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 with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience debugging profiling and implementing best software engineering practices in large-scale systems
- 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
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