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- Over 100,000 employees globally
- Headquartered in Mountain View, California
- Parent company Alphabet Inc. valued at $1.5 trillion
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Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...
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Skills & Technologies
Overview
Google is hiring a Software Engineer for their YouTube Ads Machine Learning team. You'll work on developing and optimizing machine learning models for large-scale Ads platforms using C++ and Python. This position requires 2 years of software development experience.
Job Description
Who you are
You have a Bachelor's degree or equivalent practical experience, along with at least 2 years of experience in software development using C++ and Python. You possess a solid understanding of machine learning concepts, particularly in areas such as speech/audio technology, reinforcement learning, and ML infrastructure. Your experience includes working with data structures and algorithms, and you have a keen interest in building and optimizing machine learning models, especially for large-scale applications like Ads platforms.
You are familiar with model deployment, evaluation, and optimization processes, and you have a strong analytical mindset that allows you to tackle complex problems effectively. Your background may include a Master's degree or PhD in Computer Science or a related technical field, which further enhances your qualifications for this role. You thrive in collaborative environments and are eager to contribute fresh ideas to innovative projects.
What you'll do
As a Software Engineer on the YouTube Ads Machine Learning team, you will be responsible for developing and optimizing machine learning models that enhance user engagement and ad effectiveness. You will work closely with cross-functional teams to implement solutions in specialized ML areas, utilizing ML infrastructure to ensure efficient model performance. Your role will involve debugging and resolving product or system issues by analyzing their sources and impacts on hardware, network, or service operations.
You will contribute to the design and implementation of scalable systems that handle massive amounts of data, ensuring that Google's products continue to meet the needs of billions of users. Your work will directly influence how users connect and interact with information, making a significant impact on the overall user experience. You will also have opportunities to mentor junior engineers and share your expertise in machine learning and software development practices.
What we offer
At Google, you will be part of a dynamic team that is dedicated to pushing the boundaries of technology. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will have access to cutting-edge tools and resources that enable you to excel in your role and make a meaningful impact on the future of technology. Join us in shaping the next generation of user experiences and driving innovation in the digital landscape.
Interested in this role?
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