Staff ML Software Engineer, Search Ecosystem
googleSan Jose, CA
Staff ML Software Engineer, Search Ecosystem
L6
googleSan Jose, CA3 days ago
Occupations
Software DevelopersComputer Systems Engineers/ArchitectsComputer and Information Research ScientistsIndustries
Software PublishersCustom Computer Programming ServicesWeb Search Portals and All Other Information ServicesStaff ML Software Engineer, Search Ecosystem Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. The Search Ecosystem team builds a sustainable content ecosystem for Google products. We develop scalable platforms to address Google's content requirements by systematically identifying knowledge gaps in our AI models, sourcing high-quality content to fill them, and then training the models to verify performance improvements. This is a high-impact, high-visibility growth area within Search Ecosystems. This is an opportunity to work on a business-critical product that is redefining the boundaries of artificial intelligence. We are a fast-moving, growing organization working on highly impactful projects. In this role, you will help build robust systems and scalable platforms that power content acquisition to train AI models in a responsible and secure manner. 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
Responsibilities:
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 LLMsDrive technical projects from ideation through to production, working effectively in an ambiguous and fast-paced environment.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
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Level
LeadL6
Location
San Jose, CA
Occupation
Software Developers
Industry
Software Publishers
Posted
3 days ago
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