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About the Role

Amazon Advertising is a rapidly growing and profitable business that helps merchants, vendors, and brand owners succeed through native advertising. The Creative X organization focuses on the science behind ad creative, ensuring quality, safety, and brand compliance using advanced technologies like computer vision and multimodal models. This role leads the applied science team responsible for creative understanding, quality assessment, safety, and moderation across various asset types.

Responsibilities

• Own the scientific direction for creative quality assessment, content moderation and trust and safety, evaluation and benchmarking, and multimodal content understanding.
• Directly lead a team of applied scientists while managing and developing subordinate leads and managers as the portfolio grows across understanding sub-domains.
• Drive end-to-end applied science programs with high ambiguity, scale, and complexity, and be accountable for the resulting models in production.
• Advance the science of evaluation: define how we measure creative quality, safety, and brand compliance, and build the benchmarks and metrics the broader org relies on.
• Research and apply new approaches in computer vision, vision-language models, and multimodal understanding, including quality and aesthetics scoring, safety classification, attribute and metadata extraction, and brand and logo detection.
• Recruit, mentor, and grow high-performing applied scientists and science managers, and raise the hiring and technical bar for the team.
• Establish team mechanisms for planning, document and design reviews, and cross-functional partnership with product and engineering.

Requirements

• 5+ years experience 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.
• 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.
• Advanced degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
• 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.
• Depth in one or more of: computer vision, vision-language models, content moderation and trust and safety, quality and aesthetics assessment, evaluation and benchmarking methodology, metadata and attribute extraction, or similarity and retrieval.
• Experience building large-scale machine-learning models and infrastructure from large, real-world datasets.
• Effective verbal and written communication with technical and non-technical audiences.
• Thinks strategically while staying on top of tactical execution, and exhibits excellent business judgment balancing product, science, and operational trade-offs.

Skills

• Computer vision
• Multimodal understanding
• Content moderation and trust and safety
• Vision-language models
• Quality and aesthetics scoring
• Safety classification
• Attribute and metadata extraction
• Brand and logo detection
• Content similarity and retrieval
• Machine learning
• Evaluation science

Location

• USA, NY, New York
• USA, WA, Seattle

Work Type

• Full-time

Experience Level

• 5+ years managing applied science or machine learning teams
• 2+ years managing other managers or team leads
• 7+ years applied science experience

Education Level

• PhD
• Master's degree

Salary/Compensations

• 240,600.00 - 325,500.00 USD annually
• 218,800.00 - 295,900.00 USD annually

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• 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

About the Company

• Amazon Advertising is one of Amazon's fastest growing and most profitable businesses.
• Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Equal Opportunity

• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.