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Senior Software Engineer Generative AI Ads Safety
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Experience driving progress solving problems and mentoring more junior team members deeper expertise and applied knowledge within relevant area.
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Minimum qualifications Bachelors degree or equivalent practical experience. 5 years of experience with software development in C and Python programming languages. 3 years of experience testing maintaining or launching software products and 1 year of experience with software design and architecture. 3 years of experience with ML infrastructure e.g. model deployment model evaluation optimization data processing debugging. 1 year 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 Masters degree or PhD in Computer Science or related technical field. 7 years of experience in software engineering applied ML autonomous systems and large-scale systems design. 5 years of experience with data structuresalgorithms and 1 year of experience in a technical leadership role. 2 years of experience with Generative AI Agents.
Experience developing accessible technologies.
About the job Googles 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. Were 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 Googles 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.
In this role you will enhance and migrate models to Gemini-based architectures to improve development velocity. You will simplify the training process by transitioning to In-Context Learning ICL on base Gemini models and develop a toolkit of agentic solutions to automate the Machine Learning ML life-cycle.
Google Ads is helping power the open internet with the best technology that connects and creates value for people publishers advertisers and Google. Were made up of multiple teams building Googles Advertising products including search display shopping travel and video advertising as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses to large brands to YouTube creators with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is 174000-252000 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. Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus equity or benefits. Learn more about benefits at Google.
Responsibilities Write and test product or system development code. Participate in or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices e.g. style guidelines checking code in accuracy testability and efficiency. Participate the transition from legacy FLAMeD fine-tuned models to In-Context Learning ICL on Base Gemini models ensuring optimal performance while optimizing for inference cost and throughput. Design and roll out the Per Head Deep Update PHDU architecture across models and replace monolithic models with a modular system to enable independent parallel policy updates. Engineer a toolkit for the automated model training life-cycle and deploy AI agents to automate model evaluation and prompt optimization.
Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles Applicant and Candidate 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 identityexpression 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 Googles 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.
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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Equal Opportunity 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 identityexpression 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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
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