Software Engineer, Commerce Content Safety
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (Python, C++, etc.).
- Experience in artificial intelligence or machine learning.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures and algorithms.
- 1 year of experience in machine learning, generative AI and AI algorithms.
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.
The Commerce Content Safety team ensures a safe and trustworthy Google Commerce experience. We're on the front lines, protecting users and merchants by maintaining content integrity, moderating shopping queries, and overseeing shopping GenAI safety.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.Responsibilities
- Design, build, deploy, and iterate on machine learning models (including LLMs) to detect policy violations in Shopping content for various moderation tasks, including text, image, and potentially video analysis.
- Develop and deploy scalable pipelines for high-quality training data curation, striving for gold-standard datasets and implementing frameworks for model evaluation and performance tracking.
- Collaborate closely with product managers, data analysts, operations teams, and other engineering teams to understand requirements, translate them into technical solutions, and deliver impactful results.
- Collaborate with other engineering teams (Search, Gemini, Shopping Infra, Compliance, Merchant Tools, Ads safety) to integrate and support content safety measures.
- Analyze data to identify patterns of abuse, measure the effectiveness of our systems, and guide future improvements.
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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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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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