Sr. Manager, Applied Science, Catalog AI, Amazon Selection and Catalog Systems jobs in United States
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Amazon · 7 hours ago

Sr. Manager, Applied Science, Catalog AI, Amazon Selection and Catalog Systems

Amazon is a leading e-Commerce company that is looking for a Sr. Manager in Applied Science to lead their Catalog Science team. The role involves devising strategies and execution plans for developing AI models and applications that enhance product information accuracy and completeness in Amazon's extensive catalog.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Lead the Amazon Catalog Science team and own devising the strategy and execution plans that power initiatives ranging from: developing tuning artifacts on top of foundational LLMs, training ML models, performing fact extraction, automatic detection of missing product information, active learning mechanisms for scaling human tasks, building applications for distilling product information, building mechanisms to analyze product composition, ingest images, text, and unstructured data to drive deep understanding of products at scale

Qualification

AI model developmentLarge Language ModelsMachine learning infrastructurePhDMaster's degreePublished research workLarge-scale data handlingBusiness judgmentEffective communicationStrategic thinking

Required

10+ years of building AI models for business application
5+ years as a science leader or staff/principal level scientist
PhD, or Master's degree and 10+ years of CS, CE, ML or related field experience

Preferred

Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field
Published research work in academic conferences or industry circles
Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc
Effective verbal and written communication skills with non-technical and technical audiences
Experience working with large real-world data sets and building scalable models from big data
Thinks strategically, but stays on top of tactical execution
Exhibits excellent business judgment; balances business, product, and technology very well

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Company

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 Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase