3 days ago
Base Salary
$207k - $300k/yr
Responsibilities
- Build AI-generated content quality frameworks and agentic flows for Discover and Notifications.
- Develop AI-generated content using context engineering and agentic feedback loops.
- Conduct quality evaluations and use recommendation signals and feedback to improve the AIGC stack.
- Resolve system-level bottlenecks and optimize recommendation and serving efficiency for low-latency surfaces.
- Drive technical innovation and influence broader machine learning strategy.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 8 years of software development experience.
- At least 5 years of experience in machine learning, recommendation systems, natural language processing, or a related field.
- Experience building offline and online LLM quality evaluation frameworks, including methods such as LLM-as-a-judge, RLHF, and DPO.
- Experience integrating generative AI tools or LLM interfaces into workflows.
- Preferred: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- Preferred: 8 years of experience with data structures and algorithms.
- Preferred: 3 years of experience leading technical project teams and setting technical direction.
- Preferred: experience optimizing ML inference, resolving system-level bottlenecks, improving serving efficiency, and integrating LLM quality evaluation frameworks with recommendation signals.
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.