About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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 massive scale, and extend well beyond web search. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree or equivalent practical experience
- 5 years of experience with software development in Java and C++
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision)
- Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction
- Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods
More about this role
- Build and maintain robust, scalable software systems and information retrieval infrastructure on top of Large Language Model (LLMs).
- Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
- Thrive in ambiguity and effectively navigate a fast-paced environment during the foundational stages of this new initiative.
- Collaborate closely with cross-functional teams, including engineers, product managers, and research teams across Google (e.g., NotebookLM, Play Books, Core Data, Search).
- Uphold high standards for code quality, system reliability, engineering best practices, and documentation.
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
- Experience with large-scale data analysis, data pipelines...
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