Machine Learning Engineer II at Pinterest focused on building and improving ML models for core product surfaces like Homefeed, Ads, Growth, Shopping, and Search. The role involves developing cutting-edge deep learning and ML technologies for personalization, using data-driven methods, and working with large-scale systems and stream data. The primary output is the improvement and deployment of ML models within the consumer product.

Engineering Manager to lead a mobile and backend team focused on verticalized shopping experiences, leveraging generative AI to transform user inspiration into actionable, shoppable moments. The role involves owning the technical roadmap, driving an experiment-led culture, and building the necessary AI systems (harness, context, retrieval, prompt orchestration, evaluation, guardrails) for production-ready LLM applications. The focus is on integrating AI-driven personalization and recommendation systems to improve conversion rates and user satisfaction.