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Home › Jobs › Machine Learning › Senior Applied Scientist, Alexa Ads
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Senior Applied Scientist, Alexa Ads

Amazon
Bengaluru
Experience3 years
Salary Not disclosed
LocationBengaluru
Job TypeFull time
Skills: Machine Learning Python Scikit-learn TensorFlow NumPy NLP
Job Description
Job Title: Senior Applied Scientist, Alexa Ads Company: Amazon Job Category: Machine Learning Roles & Responsibilities: 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 deep learning and GenAI models for natural language processing (NLP), recommendation systems, and personalization. Collaborate with software development engineers to deploy models into high-scale, real-time production environments. Work Location: Bengaluru, Karnataka, India Availability: Full time
Requirements
Design and run A/B experiments to measure the impact of new models on customer experience and ad performance. Basic Qualifications * 6+ years of building machine learning models for business application experience * PhD, or Master's 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 Preferred Qualifications * 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 etc. Key Skills: Machine Learning, Python, Scikit-learn, TensorFlow, NumPy, NLP Salary: Not disclosed
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