Principal Engineer, Generative AI
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Minimum qualifications:
- Master’s degree or equivalent practical experience.
- 15 years of experience in software development, and with data structures/algorithms.
- 10 years of experience with ML/AI algorithms and tools, deep learning, or other AI/ML modeling.
Preferred qualifications:
- PhD in Computer Science, Statistics, or related field.
- Experience in LLM related model fine tuning, large language model building, or product enablement exploration.
- Experience in successfully applying machine learning approaches to real-world personalization problems.
- Experience with deep learning frameworks such as TFX or TFlex.
- Knowledge of statistical methods, and strong mathematical skills.
- Excellent communication and teamwork skills.
About the job
The Personalization Modeling and Infrastructure (PMI) team has a goal of up-leveling the central personalization platform to enable strong Search, Discover, and Shopping experiences. We aim to build horizontal user understanding to leverage state-of-the-art AI technology that can ensure a consistent user experience across Google surfaces, with high efficiency and cohesion.
The User Modeling team within the Personalization, Modeling and Infrastructure organization aims to bring step-changes in personalized experiences across Search through refined understanding of our users' interests, preferences, and tastes, leveraging advanced AI/ML technology.
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.
The US base salary range for this full-time position is $278,000-$399,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Develop and deploy personalized large language models (LLMs) to empower search and recommendation systems for a variety of applications. Conduct applied research on new LLM techniques for concrete product use cases.
- Work with collaborating teams' (e.g., Research, Search, Discover, Shopping, etc.) Engineers to integrate LLMs into our products and services.
- Contribute to the vision and roadmaps of Search, Discover, and Shopping.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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