Amazon · 1 day ago
Applied Scientist, Catalog AI, Amazon Selection and Catalog Systems
Amazon is a leading e-commerce company seeking an Applied Scientist to join their Catalog AI team. The role involves designing and implementing large language model solutions to enhance catalog data quality and collaborating with engineering teams to deploy models at scale.
Artificial Intelligence (AI)DeliveryE-CommerceRetail
Responsibilities
Design and implement LLM-based solutions to improve catalog data quality and completeness
Conduct experiments and A/B tests to validate model improvements and measure business impact
Optimize large language models for quality and cost on catalog-specific tasks
Collaborate with engineering teams to deploy models at scale serving billions of products
Qualification
Required
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Preferred
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience with Large Language Model (LLM) and Foundational Model fine-tuning, or reinforcement learning techniques
Benefits
Equity
Sign-on payments
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.
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
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Recent News
2026-01-07
2026-01-07
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