Senior Staff Research Engineer, Cloud AI Research
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Experteer Overview In this role you will advance innovative ML and NLP methods to address high-impact business challenges. You will collaborate with Google Cloud product teams to translate research breakthroughs into scalable AI products. You will publish findings at top venues and engage with researchers and engineers to push the boundaries of GenAI and foundation models. The position combines scientific exploration with real-world production impact, shaping enterprise AI at scale. Compensation / Benefits * Develop innovative ML/NLP techniques with real-world impact * Collaborate with Google Cloud product teams to realize business value from research * Invent and implement scalable methods for enterprise AI across varied scenarios * Publish research outcomes at conferences/journals * Improve foundation models (e.g., hallucination reduction, retrieval-augmented LLMs, multimodal GenAI) and drive productionization * Engage with researchers and engineers across Google and contribute to cross-functional collaboration * Bridge research with product teams to deliver innovations to customers Tasks * Bachelor’s degree or equivalent practical experience * 8 years of software development experience * 7 years of experience leading technical project strategy, ML design, and ML infrastructure * 5 years of design and architecture experience and launching software products * 5 years of experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models) or related concepts Key requirements * bonus target * equity * benefits
Requirements
aaaaaaaaaaaaaa_ collaboration * Bridge research with product teams to deliver innovations to customers Tasks * Bachelor’s degree or equivalent practical experience * 8 years of software development experience * 7 years of experience leading technical project strategy, ML design, and ML infrastructure * 5 years of design and architecture experience and launching software products * 5 years of experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models) or related concepts Key requirements * bonus target * equity * benefits
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