Staff Software Engineer, AI/ML, Safe Search
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Required Qualifications
* Bachelor’s degree or equivalent practical experience.
* 8 years of experience in software development.
* 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
* 5 years of experience in one or more of the following: speech/audio (technology duplicating and responding to the human voice), reinforcement learning, ML infrastructure, or another ML field.
* 5 years of experience with ML design and ML infrastructure (model deployment, model evaluation, data processing, debugging, fine‑tuning).
* Experience in Python programming.
Preferred Qualifications
* Experience in prompt engineering and applying Large Language Models for data labeling.
* Experience building classifiers, machine learning, AI, ranking, and research.
* Experience coding in C++ or Kotlin.
* Experience in Trust and Safety or Search Quality.
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 handle information at massive scale and extend well beyond web search. As a software engineer you will work on a specific project critical to Google’s needs, with opportunities to switch teams and projects as the fast‑paced business grows and evolves. In Google Search, we are reimagining what it means to search for information in any way and anywhere, solving complex engineering challenges while maintaining a universally accessible and useful experience worldwide.
Responsibilities
* Make choices on when to leverage new Large Language Model (LLM) tech versus using existing processes to architect AI Raters and safety models across Google products.
* Partner with teams across Search, bridging the gap between Engineering, Product Management, and Policy.
* Improve evaluation and measurement systems, run experiments, and ensure that Search launches remain effective while protecting Search safety against regressions.
* Guide prototyping, in‑depth evaluations, and launches of changes that proactively make Search safer, ranging from ranking improvements to better AI‑generated responses.
* Define model behaviors and safety protections within the core Search stack.
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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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.
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