Amazon · 1 week ago
Sr Applied Scientist - Analytics AI, AI Core Infra - AI Analytics and Insights
Seattle, Washington, USA
Full-time
Onsite
Senior Level
$150K/yr - $260K/yr
6+ years expAmazon is a leading company in the advertising sector, focusing on delivering innovative advertising solutions. They are seeking a Senior Applied Scientist to develop and optimize natural language processing models for a conversational AI assistant that aids data engineers and analysts in their workflows.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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 conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents)
Be familiar with optimizing retrievers in RAG architectures
You will test multiple foundational models and fine tune when appropriate
You will create feedback loops that will evaluate performance and improve our systems
You will optimize prompts for better responses from our LLMs
You will build tools to auto-curate metadata using LLMs
You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon!
Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams
This role combines science leadership, organizational ability, technical strength, product focus, and business understanding
Qualification
Required
3+ 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
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
Benefits
A full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
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2026-01-09
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