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Lead the YouTube Ads ML team at Google, managing engineers and setting technical roadmaps while building large-scale machine learning systems for ad recommendations. The role blends people management with hands-on deep learning work, applying GenAI models like Gemini at massive scale.
Software Engineer III on YouTube's Shopping Creator team in Zürich, designing and building AI/ML-driven models and LLM-integrated systems that help creators activate and scale shopping content, such as matching creators with merchants, offers, and products. Core stack includes C++, Python, and ML infrastructure.
Software Engineer III focused on optimizing YouTube's recommendation models for TPU efficiency. The role involves implementing quantization, knowledge distillation, and hardware-friendly architectures using C++, Python, and frameworks like TensorFlow or JAX to reduce costs and maximize performance.
A senior product manager role defining ML quality programs for the YouTube Shorts recommendation feed — writing PRDs, owning roadmaps, and driving algorithmic feed-quality improvements with engineering, UX, and partner teams. Requires 8+ years in product management and experience launching AI/ML products.
Senior Software Engineer on YouTube's AI/ML team at Google, writing and testing production code, designing ML solutions, and leveraging ML infrastructure to debug and resolve issues at massive scale. Core technologies are Python, C++, and machine learning infrastructure (deployment, evaluation, optimization, data processing).
Software engineer on YouTube's Ads ML Infrastructure team, building the systems that train and serve ad-ranking models, improving fleet resource efficiency, and automating developer workflows. Core work involves large-scale C++ systems, ML infrastructure (deployment, optimization, data processing), and technologies like TensorFlow and LLMs.
Staff-level engineer on Google's YouTube Ads Creative Optimization (YACO) team, architecting and scaling the AI/ML infrastructure behind ad creative generation — distributed systems, creative data engines, rendering pipelines, and agentic frameworks for GenAI and heavy media workloads — while mentoring engineers and setting the technical roadmap.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Builds and deploys GenAI models and ML infrastructure for YouTube, focusing on LLMs, multi-modal, and large vision models to enhance video and creator experiences at scale.
Lead a team of engineers to build and optimize large-scale AI/ML recommendation, ranking, and prediction systems for YouTube, driving technical strategy and infrastructure.
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