Sr. Manager, Applied Science, Sponsored Products and Brands

What you'll do

• Lead development of AI models and infrastructure to detect low-quality recommendations and measure customer experience across search placements.
• Define search quality metrics and partner with senior leaders across Search, Retail, and Advertising to align on standards and initiatives.
• Manage and grow a multidisciplinary team while developing new product presentation experiences for shoppers.

What they ask for

• PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or a Master's degree with 10+ years of applied science experience.
• 8+ years building and deploying production AI models at scale, focused on NLP, information retrieval, or recommendation systems.
• 5+ years managing and growing teams of applied scientists and/or machine learning engineers.
• Experience leading end-to-end AI projects and demonstrated technical depth in relevance, ranking, or search quality evaluation; proficiency with modern ML frameworks and large-scale data processing technologies.

Nice to have

• Experience with LLMs, multimodal AI, or foundation models applied to search, content understanding, or product classification.
• Experience with search quality measurement, AI-powered measurement infrastructure, or the advertising ecosystem.

Pay

251,600.00 - 340,300.00 USD annually (base salary)

Tools

PyTorch, TensorFlow, Spark, LLMs

AI focus

Build AI models and systems to improve search relevance, monitor customer experience, reduce manual auditing and training-data effort, and enable new product presentation experiences.