Applied Science Manager, Seller Partner Trust and Store Integrity Science - Global Risk Intelligence and Prevention

What you'll do

• Set the scientific vision and roadmap, aligning priorities with stakeholders and communicating trade-offs.
• Lead scientific and technical work on detection models, ensuring rigor, scalability, and production readiness.
• Build and develop an applied science team and oversee project execution and operational performance.

What they ask for

• Knowledge of ML, NLP, Information Retrieval and Analytics.
• Ph.D. in computer science, machine learning, engineering, or a related field, or PhD and 5+ years of experience in a quantitative field.
• Experience hiring and leading experienced scientists and developing junior members.
• Experience with large-scale machine learning systems, including profiling, debugging, performance, and scalability.

Nice to have

• Experience building machine learning models or developing algorithms for business applications.
• Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, delivered to customers.

Pay

USD 183,800.00 - 248,700.00 annually (base salary)

Tools

ML, NLP, Information Retrieval, Analytics, deep learning, foundation models, generative AI, large language models

AI focus

Lead development of AI/ML systems for seller risk detection, applying deep learning, foundation models, generative AI, large language models, multimodal reasoning, and self-supervised learning to identify abuse patterns.