Applied Science Manager, Advertising Trust
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap
I korthet
Amazon Ads seeks an Applied Science Manager to lead a team focused on building ML systems for content moderation. The role involves defining science strategy, delivering ML solutions, growing scientists, and partnering with engineering and product teams to ensure ads meet Amazon's policies at scale.
Ansvarsområden
- Lead a team of applied scientists working across multimodal ML (vision-language models, video understanding), large-scale retrieval systems (embedding-based similarity and deduplication), and generative AI (LLM-based policy reasoning, knowledge distillation, agentic architectures, reinforcement learning).
- Define the science strategy for ads trust.
- Own end-to-end delivery of ML solutions: problem formulation, offline experimentation, online A/B testing, and production deployment.
- Build and grow scientists — hire, mentor, and develop team members.
- Partner with engineering, product, and operations teams to translate science investments into measurable automation improvements.
- Communicate science strategy and results to senior leadership through narratives, technical deep-dives, and roadmap documents.
Krav
- 8+ years of applied research experience
- 4+ years of scientists or machine learning engineers management experience
- PhD, or Master's degree and 8+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
- 4+ yrs in managing team of 5-15 members
Önskade kvalifikationer
- Experience building production ML systems at Internet scale, especially involving multimodal deep learning, generative AI, or large-scale retrieval
- Track record of delivering automation or classification systems with measurable business impact
- Experience with content moderation, trust & safety, or policy enforcement systems
- Publications in top-tier ML/AI venues (NeurIPS, ICML, CVPR, KDD, ACL, AAAI)
- Experience with LLMs (fine-tuning, distillation, RLHF, prompt engineering)
- Demonstrated ability to define and drive science roadmaps that influence product and business strategy
Förmåner
- Inclusive culture empowers Amazonians to deliver the best results for customers.
- Support for workplace accommodations for individuals with disabilities.
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