10 hours ago
Base Salary
$174k - $252k/yr
Responsibilities
- Design and implement secure, scalable data ingestion pipelines with strict access controls and copyright compliance.
- Optimize large-scale RAG infrastructure, including embedding generation and vector search.
- Integrate the Expert Intelligence platform with Google GenAI products such as NotebookLM and Gemini Deep Research.
- Develop and scale distributed batch and streaming pipelines to ingest, clean, and index terabytes of publisher data.
- Use Spanner to support low-latency and highly available serving.
- Provide technical leadership and mentorship and guide system architecture decisions and LLM infrastructure best practices.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 5 years of software development experience in C++ and Java.
- Experience with information retrieval, search infrastructure, ranking systems, data quality, or signal extraction for content evaluation.
- Experience with large-scale data analysis, data pipelines such as Flume, and statistical methods.
- Experience with data structures and algorithms.
- Preferred: Master’s degree or PhD in Computer Science or a related technical field.
- Preferred: 1 year of experience in a technical leadership role.
- Experience developing accessible technologies is preferred.
Benefits
- US base pay is $174000-$252000, plus a 15% bonus target, equity, and benefits.
- The role offers opportunities to work across projects and make an impact on Google Search and GenAI products.
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.