Software Engineer, ML Quality, Google Labs

_corporate_fare_ Google _place_ Mountain View, CA, USA; San Francisco, CA, USA

**Advanced**

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

_info_outline_

XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; San Francisco, CA, USA** .

**Minimum qualifications:**

+ Bachelor’s degree or equivalent practical experience.

+ 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

+ 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

+ Experience building products or features that apply machine learning models, with a specific focus on quality hill-climbing to achieve user outcomes.

**Preferred qualifications:**

+ Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

+ 8 years of experience with data structures and algorithms.

+ Experience with consumer product quality ownership in the ML/AI domain.

+ Experience taking products or efforts from “zero to one”.

**About the job**

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. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

$207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

**Responsibilities**

+ Lead the "hill-climbing" quality initiative for specific verticals, starting with very small business (VSB) and small-to-medium business (SMB) use cases.

+ Partner with product management to optimize prompt quality for agentic systems and build robust ML pipeline evaluation frameworks.

+ Implement instrumentation, logging, A/B testing, and log analysis alongside in-product user feedback features.

+ Translate data insights and system performance analysis into actionable suggestions for product improvements.

+ Work cross-functionally in a lean, fast-paced "zero-to-one" environment to prototype and scale new full-stack AI applications from the ground up.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.