Staff Machine Learning Engineer
Posted Updated
Description
- 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
- Hands-on experience with large-scale recommendation system and reinforcement learning applications; experience with LLM/VLM post-training is a plus
- Cross-functional collaborator and strong communicator
- Minimum 6 years of relevant industry experience
- MS/PhD in Computer Science, or equivalent industry experience
- Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)
- Technical leadership and experience in driving ambiguous research problems into production deliverables