Amazon.com Services LLC
Technology
AppliedScientist-AnalyticsAI,AICoreInfra-AIAnalyticsandInsights
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist - Analytics AI, AI Core Infra - AI Analytics and Insights at Amazon.com Services LLC. Skills: Conversational AI, Natural Language Processing, Machine Learning. Design conversational experiences. Research NLP/NLU models”
Industry & Context.
Metrics retrieval; SQL generation; Troubleshoot models
What They're Looking For.
Must Have
3+ years building models, Master's degree and 4+ years experience, 4+ years CS, CE, ML experience, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience in algorithms, Experience in data structures, Experience in numerical optimization, Experience in data mining, Experience in parallel computing, Experience in distributed computing, Experience in high-performance computing
Nice to Have
PhD, Experience using Unix/Linux
What You'll Do.
Design conversational experiences
Research NLP/NLU models
Design NLP/NLU models
Develop NLP/NLU models
Integrate with backend systems
Test foundational models
Create feedback loops
Invent new experiences
Influence shopping experiences
Define science vision
Translate direction into plans
How You'll Work.
Team & Collaboration
Work closely with engineers; Work closely with product managers; Collaborate with engineers; Small scrappy team; Supportive team; Collaborative team
Full Job Description
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers. You'll work with us to help our Advertising teams make sense of the torrent of data produced by the advertising lifecycle. We are using SOTA generative AI to help teams generate insights faster based on our massive data lake. You will need to invent new techniques for metrics retrieval and SQL generation to ensure we're retrieving accurate and trusted data. You'll create feedback loops to ensure our solution is constantly evaluating itself and improving. Being that this is for a conversational AI position, here is what our bot replied when we prompted it for a job description of who should help build it: Role Overview: We are looking for an exceptional applied scientist to join our team building SpektrBot, a conversational AI assistant that helps data engineers and analysts with their workflows. You will work closely with engineers and product managers to design, implement, and optimize natural language processing models like intent classification, named entity recognition, question answering, etc. that enable our Ads chatbot to understand user requests and have natural conversations. Responsibilities: Study and understand data engineering and analytics workflows to design the right conversational experiences Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc. Continuously improve models through techniques like active learning, transfer learning etc. Optimize models for metrics like precision, recall, latency, interpretability etc. Implement models within overall bot architecture and integrate with backend systems Collaborate with engineers to productionize and monitor models Stay up-to-date on latest advancements in con
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