In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Develop and implement frameworks and methodologies for evaluating the quality and effectiveness of AI system components and data.
Analyze evaluation results to drive improvements in system performance and underlying value models.
Play a key role in building and articulating the high-level technical strategy for your area of ownership.
Leverage knowledge of LLMs to design, build, and maintain specialized infrastructure on top of LLMs
Drive technical projects from ideation through to production, working effectively in an ambiguous and fast-paced environment.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development, including 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience in building ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
Experience integrating generative AI tools or LLM interfaces into workflows.
Experience in data processing software (e.g., Hadoop, Spark, Beam, Hive), strategies (e.g., ETL, ELT, CDC) or algorithms (e.g., MapReduce, Flume).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
Experience in full-stack development, building back-end distributed infrastructure, and programming in Java, Python, or C++.
Experience integrating generative AI tools and understanding of AI architecture.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development, including 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience in building ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
Experience integrating generative AI tools or LLM interfaces into workflows.
Experience in data processing software (e.g., Hadoop, Spark, Beam, Hive), strategies (e.g., ETL, ELT, CDC) or algorithms (e.g., MapReduce, Flume).
