Who you are
MS/PhD in Computer Science, or equivalent industry experience
Minimum 6 years of relevant industry experience
Hands-on experience with large-scale recommendation system and reinforcement learning applications;
experience with LLM/VLM post-training is a plus
Technical leadership and experience in driving ambiguous research problems into production deliverables
Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)
Cross-functional collaborator and strong communicator
What the job involves
As part of Pinterest Labs, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers
In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions
You will conduct research that directly applies across Pinterest engineering teams, engage in external collaborations and mentoring, and perform research in the intersection of recommendation systems, LLMs, VLMs, and reinforcement learning
Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search
Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale. Identify timelines and obtain resources needed
Identify new and upcoming research opportunities by interacting with external and internal collaborators. Own long-term research strategy and plans to expand the impact of Applied Science
Act as a technical leader in the applied AI space. partner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact