AI Research Engineer 6, TL, Algo Core - AI for Member Systems

What you'll do

• Drive the technical vision and roadmap for reward modeling, utility estimation, and multi-objective optimization.
• Implement auction-based and constrained-optimization techniques to allocate promotional real estate.
• Align AI/ML capabilities with business priorities through cross-functional partnerships with Merchandising, Ads, and Product teams.
• Integrate utility layers and reward signals across all member-facing AI models with the Personalization Foundations team.
• Design and execute rigorous offline experiments and A/B tests to validate impact on business and member-experience metrics.
• Perform code reviews and provide technical mentorship to maintain high engineering standards.
• Train, tune, and deploy production-grade machine learning models using Python, Scala, or Java.

What we're looking for

• 6+ years of experience applying machine learning in an industry setting.
• Master’s or PhD in a computational field such as computer science, statistics, math, operations research, or physics.
• Deep expertise in ML and optimization algorithms and frameworks with experience training, tuning, and deploying models in production.
• Experience with reward modeling, utility estimation, or constrained-optimization and auction-based allocation systems.
• Strong software engineering skills in Python.
• Experience with Scala or Java (preferred).
• Experience driving successful partnerships with both technical and nontechnical stakeholders.
• Strong 80/20 mindset to scope problems, ship pragmatically, and maintain rigorous standards.