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Applied Scientist II, Alexa Ads - Amazon.com
Software Engineer
Applied Scientist II focused on building advanced machine learning models for Alexa Agentic/Conversational Ads, integrating personalized advertising into the Alexa experience using Generative AI and NLP techniques.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines for Alexa Agentic Ads, ensuring high relevance and personalization.
- Leverage NLP and generative models to create natural, context‑aware ad content that blends seamlessly into voice interactions.
- Collaborate with cross‑functional teams to define product requirements, evaluate model performance, and iterate on solutions.
- Conduct rigorous experimentation, A/B testing, and statistical analysis to measure impact on user engagement and revenue.
- Maintain scalable data infrastructure on AWS, ensuring data quality, privacy, and compliance.
Requirements
- Master’s or Ph.D. in Computer Science, Machine Learning, or related field.
- 5+ years of experience building production‑grade ML models, preferably in conversational or advertising domains.
- Proficiency in Python, PyTorch/TensorFlow, and AWS services (SageMaker, Lambda, S3).
- Strong background in NLP, generative modeling, and personalization algorithms.
- Excellent communication skills and ability to work in a fast‑paced, collaborative environment.
Skills
machine learningnatural language processinggenerative aipythondeep learning