Hire Shuaiji L. - Machine Learning Engineer

R&D into Tinder's core ranking algorithms and recommendation system. Areas of focus include but not limited to: Retrieval and ranking algorithms, personalization, multi-task learning, batch reinforcement learning, uplift modeling, ecosystem optimization, and representation learning.

Researched, designed, implemented and productionalized various reinforcement learning algorithms. Collaborated with other researchers, engineers and product managers. Primarily worked on spatiotemporal modeling with applications in marketplace optimization (order dispatching, vehicle repositioning), and growth (passenger trip request incentive).

Worked on movie impression scores forecasting with a focus on network transitions. Methodologies included graph-based models and attention-based networks.