Applied Scientist II, Alexa Ads
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy machine learning and deep learning models for NLP, recommendation systems, and personalization in Alexa Ads.
Conduct data analysis, build scalable ML pipelines, and run A/B tests to measure impact on customer experience and ad performance.
Collaborate cross-functionally to deploy models into high-scale, real-time production environments with direct revenue impact.
Minimum Requirements
3+ years of experience building models for business applications.
PhD or Master’s degree with 4+ years of experience in CS, CE, ML, or related field.
Proficiency in Java, C++, Python or related programming languages.
Experience in algorithms and data structures, parsing, numerical optimization, data mining, or parallel and distributed computing.
Ideal Candidate Profile
Experienced in innovative ML model design for conversational AI and computational advertising from the ground up.
Skilled in owning end-to-end problem spaces including research publication and production deployment.
Comfortable working in a greenfield startup-like environment with global collaboration and local autonomy.