Software Engineer II, Ads, Search Ads, Quality
Vor 4 Tagen
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Minimum Qualifications:- Bachelor's degree or equivalent practical experience.
- 1 year of experience with data structures or algorithms.
- 1 year of experience implementing core Machine Learning (ML) concepts.
- Experience in Machine Learning.
- Experience coding in Python, C++.
- Experience with launching applied ML, Natural Language Processing (NLP), LLM projects.
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.
In this role, you will leverage the latest advances in language modeling to increase the quality and reach of ad applicants. You will have an understanding of the technology capabilities of Google's Large Language Models (LLMs) and match them with the product opportunities that can be unlocked through the tech. You will be comfortable with quantitative work when analyzing and visualizing data from logs, experiments, or production systems. You will work with data scientists, researchers, and other quality and infrastructure software engineers to accomplish the task.
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- Own projects end-to-end from initial idea to design, analysis, and implementation.
- Perform model training, evaluation, and deployment to solve business-critical problems. This includes exploration of new model architectures, augmenting existing training data, finding better evaluation methods, developing new signals, and identifying headroom opportunities.
- Understand production systems, monitor, and optimize performance.
- Stay up-to-date with latest tools and research in the field.
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