Sr. Applied Science Manager, Perfect Order Experience (POE) AI jobs in United States
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Amazon · 4 hours ago

Sr. Applied Science Manager, Perfect Order Experience (POE) AI

Amazon is seeking an exceptional Senior Applied Science Manager for their Perfect Order Experience (POE) AI team, which focuses on enhancing customer experiences and seller success through advanced AI solutions. The role involves leading the development of a large language model and implementing machine learning strategies to optimize product visibility and ensure quality standards across Amazon's catalog.

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

Responsibilities

Drive AI strategy and lead a team of applied scientists in developing ML solutions
Lead the end-to-end development of a domain specific LLM
Drive the development of large-scale pre-training and post-training strategies for the LLM using domain-specific datasets
Architect automated risk detection and treatment systems that combine multi-modal signals to identify product quality issues and implement optimization-based mitigation strategies
Collaborate with other science teams to develop/ influence ranker models that optimize product visibility

Qualification

Large Language ModelsMachine LearningTeam LeadershipMulti-modal ML SystemsSearchRanking SystemsReinforcement LearningPublication RecordCommunication Skills

Required

Ph.D. in Computer Science, Machine Learning, or related technical field, or equivalent practical experience
Experience leading and managing teams of scientists/engineers in delivering ML solutions at scale
Strong track record in developing and deploying production ML systems
Strong publication record or proven industrial innovations (e.g., patents) in ML/AI

Preferred

Strong communication skills with ability to translate complex technical concepts to various audiences
Experience with LLM development, including pre-training, fine-tuning, and reinforcement learning
Knowledge of search, ranking, or recommendation systems
Experience with multi-modal ML systems combining text, image, and structured data

Benefits

Equity
Sign-on payments
Medical
Financial
Other benefits

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