Position Details

Type Not Specified

Experience senior

Exp. Years Not specified

Education Not specified

Category AI & Machine Learning

About this role

Amazon Ads is hiring a Senior Applied Scientist to improve Sponsored Products and Brands ad response prediction using advanced generative AI and machine learning. The role focuses on data analysis, building scalable models, running A/B experiments, and partnering with software engineers to deliver production solutions.

Key Responsibilities

Conduct deep data analysis to derive business insights and identify gaps
Develop scalable machine-learning models and optimization strategies
Run regular A/B experiments and perform statistical analysis
Work closely with software engineers to deliver end-to-end solutions into production
Improve scalability, efficiency and automation of models/services

Technical Overview

You will develop and optimize deep learning and machine-learning models for real-time ad response prediction at high scale. Responsibilities include performing statistical analysis on A/B test data and collaborating with software engineers to deploy end-to-end machine learning systems in production.

Ideal Candidate

The ideal candidate is a senior Machine Learning Applied Scientist with strong deep learning experience and a track record of delivering scalable, production-ready machine learning systems. They are highly capable in deep data analysis, running A/B experiments, and performing statistical analysis to drive advertising and customer experience outcomes.

Must-Have Skills

Machine Learning Applied Scientistdeep data analysisscalable machine-learning modelsoptimization strategiesA/B experimentsstatistical analysiswork closely with software engineersend-to-end solutions into productioncustomer experiencedeep learninghigh-scale machine-learning systemsresponsible and intelligent AI technologies

Nice-to-Have Skills

real-time machine learning servicesautomation of lar

Tools & Platforms

A/B testing

Required Skills

deep data analysisscalable machine-learning modelsoptimization strategiesA/B experimentsstatistical analysisreal-time machine learningend-to-end solutions into productiondeep learninghigh-scale machine-learning systemsresponsible AI technologiesgenerative AI technologiesartificial intelligencecustomer experience

Hard Skills

deep data analysisinsights to the businessscalable machine-learning modelsoptimization strategiesA/B experimentsstatistical analysismachine-learningreal-time machine learning servicesend-to-end solutions into productionproduction ML systemslarcustomer experiencedeep learninghigh-scale machine-learning systemsresponsible AI technologiesartificial intelligenceadvertising lifecyclead creationad optimizationperformance analysiscustomer insightsgenerative AI technologiesSponsored ProductsBrands Ads

Soft Skills

collaborativeentrepreneurial spiritbias for actionproblem-solvingteamworkcross-functional collaborationcommunicationinnovationcustomer focus

Industry & Role

Industry E-commerce

Job Function Build and deploy scalable machine learning models to predict Sponsored Products and Brands ad responses and drive measurable business outcomes

Role Subtype AI Researcher

Tech Domains AI & Machine Learning

Keywords for Your Resume

Sr Applied ScientistMachine Learning Applied ScientistApplied Scientistdeep data analysisinsightsscalablemachine-learning modelsoptimization strategiesA/B experimentsstatistical analysissoftware engineersend-to-end solutionsproductionreal-time machine learningdeep learninghigh-scale machine-learning systemsresponsible AIgenerative AIartificial intelligencecustomer experienceSponsored ProductsBrands Ads Response Predictionadvertising lifecycleend-to-end solutions into production

Deal Breakers

Must have experience as a Machine Learning Applied Scientist (or equivalent ML applied research role), Must have demonstrated experience running A/B experiments and performing statistical analysis, Must have built scalable machine-learning models and shipped end-to-end solutions into production

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Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction

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