Pinterest is looking to tackle cutting-edge challenges in machine learning and artificial intelligence, specifically focusing on ML framework and efficiency for large-scale infrastructure. The goal is to conduct research that can be applied across Pinterest engineering teams to improve areas like generative recommender systems, post-training, reinforcement learning, multi-modality representation learning, and graph neural networks.
Requirements
- Experience in distributed system, ML frameworks (e.g. Pytorch), scaling laws.
- Experience in research and in solving analytical problems.
Responsibilities
- Design, develop, maintain, and enhance advanced machine learning solutions across various key business areas.
- Lead the technical strategy for optimizing and improving the efficiency of large-scale ML infrastructure.
- Lead high-impact machine learning projects, overseeing priorities, deadlines, and deliverables while providing technical guidance.
- Drive alignment and clarity on goals, outcomes, and timelines across teams.
Other
- MS/PhD in Computer Science or a related field degree.
- 10+ years of industry experience.
- Cross-functional collaborator and strong communicator.
- Comfortable solving ambiguous problems and adapting to a dynamic environment.
- This role will need to be in the office for in-person collaboration 1 time per quarter and therefore can be situated anywhere in the country.
- This position is not eligible for relocation assistance.
