Staff Machine Learning Engineer
Core
Build complex real-time ML models and systems for notification content ranking and generation on Pinterest's growth surfaces.
Role type
Staff Machine Learning Engineer (Recommender Systems)
Builds
Real-time production stack for candidate retrieval, ranking, utility blending, and content generation for notifications.
Domain
Social Media / Recommendation Systems / Generative AI
Deliverable
production ML models
Required skills
Sequence modeling with transformers, DNN rankers, LLM-native recommenders, high-QPS low-latency system design, training and serving infrastructure, code review and design, technical leadership, mentoring, cross-functional collaboration, research application, AI tooling for productivity
Preferred skills
Publications and patents, experience with cold-start and low-signal user problems
Technologies
Transformers, DNN, LLMs, AB testing frameworks, monitoring systems
Responsibilities
Lead technical sub-areas in growth content science, drive model improvements via A/B testing, own ML ecosystem health (pipelines, infrastructure, evaluation), mentor junior engineers, collaborate on cross-functional initiatives, set technical direction and roadmaps, apply SOTA research techniques
Seniority
Staff, hands-on IC with strategic leadership
