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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 2 years 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).
Preferred qualifications: - Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 5 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.
About the jobWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The User-AI Flywheel team in Search Intelligence builds new AI-driven tools for automatic self-improvement, and feedback-driven model training and automated evaluations of all Google Search features and its ecosystem, including AI Mode and AI Overviews. This is a quality and modeling IC/TL role to leverage user signals across Search in managing improvements to OneRecipe, and AI Mode and AI Overviews out-of-model and prompted capabilities.
You will build products that impact billions of users while leading technical contributions in a team to make it happen. The role will benefit from a creative problem solver, focused on innovation, and willing to take calculated risks.
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: $262000 - $364000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Advocate the development of modeling, tuning, and optimization techniques to support large language model (LLM) performance, quality, and capabilities.
- Guide the design and implementation of user-signal-driven improvements of LLMs to address known loss patterns and response quality behaviors.
- Partner with experts from Google Research and DeepMind to advance LLM technologies and integrate them into groundbreaking products.
- Demonstrate exceptional teamwork, sharing your expertise in system design, machine learning modeling, and coding practices tailored to the LLM domain.
- Cultivate relationships with stakeholders across the organization to collaboratively define and execute LLM initiatives.
