Applied Science Manager, GenAI, Trust and Store Integrity Science

Amazon • Seattle, WA

18h

About The Position

The TSI Science team seeks an experienced Applied Science Manager with deep expertise in deep learning and generative AI to lead the development of cutting-edge multi-modal systems. You will manage a team of applied scientists and set the technical direction for building agentic systems that transform multimedia content understanding. This role offers a unique opportunity to create products impacting thousands of professionals while driving operational efficiency at scale. You'll shape Amazon's intelligent platform that converts multi-modal digital evidence—including images, documents, video, audio, and biometrics—into structured data and actionable insights. The platform automates content processing across seller, buyer, and vendor workflows, accelerating decision-making, enhancing seller experience, detecting fraud, and reducing manual intervention in critical business processes. Key job responsibilities As an Applied Science Manager on the TSI Science team, you will:

Requirements

• 3+ years of scientists or machine learning engineers management experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• Proven experience building machine learning models or developing algorithms for business applications
• Proficiency in Java, C++, Python, or related languages
• Experience with deep learning libraries (PyTorch, TensorFlow, MxNet)
• Research publications in computer vision, deep learning, or machine learning at peer-reviewed venues
• PhD, or Master's degree with 5+ years of applied research experience
• Experience building machine learning models or developing algorithms for business application
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Nice To Haves

• PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics, or related field
• Experience leading, mentoring, and growing teams of five or more scientists
• Track record of patents or publications at top-tier peer-reviewed conferences or journals
• Expertise with PyTorch and other popular deep learning frameworks
• Experience with multi-modal LLMs and GenAI in Computer Vision across image and video domains

Responsibilities

• Lead development of novel algorithms and modeling techniques advancing the state-of-the-art in multimodal systems
• Drive direct customer impact through products and services leveraging vision and language technology
• Accelerate team development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision
• Build agentic systems for automation at scale

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager