Software Engineer III, AI/ML, Search Ads Quality
Software Engineer III, AI/ML, Search Ads Quality
Software Engineer III, AI/ML, Search Ads Quality
Software Engineer III, AI/ML, Search Ads Quality
Internet, Onlinemedien
Zürich
- Art der Beschäftigung: Vollzeit
- 82.000 CHF – 121.000 CHF (von XING geschätzt)
- Vor Ort
Software Engineer III, AI/ML, Search Ads Quality
Über diesen Job
Software Engineer III, AI/ML, Search Ads Quality
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corporate_fare Google place Zürich, Switzerland
Mid
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:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
- Experience with Google's ML stack: Tensorflow, SAX, GeMax, TPUs, etc.
- End-to-end experience launching applied ML, NLP or LLM projects.
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 manage information at a 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.Ads Quality Zurich is part of Search Ads. Specifically, we train and maintain machine learning models to match user intent with commercial content on Google Search using the latest advances in NLP and multimodal modeling, content understanding and GenAI, as well as advanced training such as RL.
In this role, you will be involved in the full AI model life-cycle, from design choices to training to efficient deployment of serving models in production at the scale of Search Ads. You will innovate while collaborating with other teams, including research, to test and implement the latest technologies in our models.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s 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.
Responsibilities
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model training, optimization and data processing.
- Write related product or system development code.
- Innovate and iterate on machine learning model training recipes, improving quality and efficiency across the entire model lifecycle.
- Test ML solutions by running and analyzing experiments using analytical and statistical methods.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., prompt optimization and training recipes, also accuracy, testability, and efficiency).
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's 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 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.
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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Internet, Onlinemedien