Google is looking to solve fundamental AI issues and drive innovation across multiple teams by developing scalable and reusable Machine Learning (ML) systems. The goal is to translate research breakthroughs into production-ready models for integration into Platforms and Devices products, ultimately shaping future user experiences and contributing to the wider research community.
Requirements
- Experience in Generative AI, Generative AI Agent, Natural Language Processing, Large Language Model (LLM).
- Experience in developing and deploying production-level models using Machine Learning, Deep Learning, LLMs, or Generative AI.
- Experience in a research or academic environment, with a track record of translating foundational research into practical applications.
- 2 years of coding experience.
- Experience in Generative AI, Generative AI Agent, Natural Language Processing, Large Language Model (LLM).
- One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Responsibilities
- Architect scalable and reusable Machine Learning (ML) systems that create a multiplier effect, accelerating innovation across multiple teams.
- Own the full development lifecycle, translating research breakthroughs into production-ready models for integration into Platforms and Devices products.
- Oversee research into fundamental AI issues, developing novel solutions for long-context reasoning, Retrieval-Augmented Generation (RAG), and on-device model efficiency.
- Lead high-priority projects from research to launch, deploying technologies that directly shape future user experiences.
- Setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
- Design new architectures.
- Contribute to the wider research community by sharing and publishing your findings.
Other
- 2 years of experience leading a research agenda.
- 1 year of experience leading research efforts and influencing other researchers.
- Experience collaborating effectively with cross-functional, distributed teams, including Product Managers, Researchers, and engineers.
- Author research papers to share and generate impact of research results across function and in the research community.
