Amazon
Sr. Manager, Applied Science, GenAI, Amazon Advertising - Creative X
$219K–$326K
New York, NY +1 · Manager · Full-time · Posted Sep 24, 2026
- Location
- New York, NY
SEATTLE, WA - Experience
- 5+ years managing applied science or machine learning teams, including 2+ years managing other managers or team leads; 7+ years applied science experience in computer vision, multimodal understanding, or content moderation and trust and safety.
- Education
- PhD, or Master's degree and 7+ years experience in CS, CE, ML, or a related field.
About the job
Leads the applied science organization building production models that assess, safeguard, and understand advertising creatives across images, video, and multimodal assets.
What you'll do
- Set scientific direction for creative quality assessment, moderation and trust and safety, evaluation, and multimodal understanding.
- Lead and grow applied scientists, team leads, and managers; own end-to-end programs and production model outcomes.
- Develop evaluation benchmarks and metrics, and partner with product and engineering on planning and delivery.
What they ask for
- 5+ years managing applied science or machine learning teams, including 2+ years managing other managers or team leads.
- 7+ years of applied science experience in computer vision, multimodal understanding, or content moderation and trust and safety.
- Experience delivering production machine-learning models for content understanding, quality assessment, or safety and moderation.
- PhD, or Master's degree and 7+ years experience in CS, CE, ML, or a related field.
Nice to have
- Experience building or scaling a science organization across multiple sub-domains as a manager of managers.
- Published research in academic conferences or industry venues in computer vision, multimodal learning, or content understanding.
Pay
240,600.00 - 325,500.00 USD annually (base salary); 218,800.00 - 295,900.00 USD annually (base salary)
Tools
computer vision, vision-language models, multimodal understanding, content moderation, trust and safety, machine-learning models
AI focus
Leads research and production development of multimodal AI for creative quality and aesthetics scoring, safety classification, content understanding, evaluation, attribute extraction, brand and logo detection, and similarity and retrieval.
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