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The YouTube Ads Finance team provides strategic, financial, and quantitative guidance across YouTube’s core business generation channels. As a Business Data Scientist on the Revenue Analytics team, you will sit at the…
Software Engineer III on YouTube's Trust & Safety team in Zurich, building video content-understanding systems: ML classifiers across video, image, audio, transcript and metadata modalities, plus infrastructure that automates enforcement actions and routes content for review by humans or LLMs (Gemini). Core stack: C++, Python, SQL, and end-to-end machine learning.
Product data scientist on YouTube's Search and Viewer AI team, working at the intersection of classic recommender systems and LLM-powered experiences like Ask YouTube. Day to day: designing and evaluating experiments and models, and extracting/validating data with SQL and Python to improve foundational search systems.
A Partner Engineer on YouTube's Content Partner Engineering team in Singapore, supporting major APAC media partners (e.g., Nintendo, Nippon TV) through technical integrations, troubleshooting, prototyping, and data analysis, while feeding partner feedback into product and engineering teams. Requires coding skills (Java/C++/Python, SQL), web technologies, and fluent Japanese and English.
Partner Engineer on YouTube's US Top Media team, acting as the technical expert for Sports and TV/Film media partnerships: supporting API integrations, troubleshooting partner technical issues, prototyping new product solutions, and relaying partner feedback to Product and Engineering. Core tech includes JavaScript/HTML/CSS/HTTP, general-purpose languages (Java, C/C++, Python), RESTful APIs with O
In this role, you will lead a team of TV Field Partner Engineers responsible for enabling and scaling our largest YouTube Primetime Channels partners globally as well as driving critical partner initiatives for our…
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…
YouTube Data Science consists of a large analyst team that influences and informs YouTube’s product and engineering leadership teams. We have a long history of working on projects that are at the heart of the business…
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they…
Senior Research Data Scientist on YouTube's Ads optimization team, building large-scale backend systems that manage advertiser spend and translate business goals into real-time ad-serving decisions using mathematical/statistical modeling, auction theory, risk management, and machine learning (deep networks, Bayesian), with Python, R, and SQL.
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally…
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make…
The Business Technology team is a part of YouTube Go To Market Solutions. We focus on the business of YouTube, ensuring the YouTube business organization can evolve at the speed of YouTube. We provide the tools and…
Data is the fundamental building block for every tool and every insight. We build the data products that help run the business, piping the relevant data into and out of our tools, and making it useful for analysts…
Software Engineer III on YouTube's Shopping Creator team in Zürich, designing and building AI/ML-driven models and LLM-integrated systems that help creators activate and scale shopping content, such as matching creators with merchants, offers, and products. Core stack includes C++, Python, and ML infrastructure.
A Business Data Scientist on YouTube's Trust and Safety team frames ambiguous abuse/safety problems into quantitative analyses, builds and scales metrics, analysis frameworks, and AI-based systems, and communicates recommendations to executives. Core tools are Python, R, SQL, statistics, and AI/Generative AI pipelines, working cross-functionally with Data Science, Product, Research, and Strategy.
Software Engineer III focused on optimizing YouTube's recommendation models for TPU efficiency. The role involves implementing quantization, knowledge distillation, and hardware-friendly architectures using C++, Python, and frameworks like TensorFlow or JAX to reduce costs and maximize performance.
A data engineer on the Global YouTube Marketing team designs, builds, and optimizes scalable data pipelines and data models, plus data-quality checks, so marketing analytics and reporting run on reliable data. Core tech includes Hadoop/Spark/Hive, Java/Python/Go/C++/JavaScript, and generative-AI/LLM tooling.
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