
Empowering the world through technology and information
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...
Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...
Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

Google • Mountain View, CA, USA
Google is seeking a Machine Learning Engineer III to work on AI/ML projects focused on Ads Click Quality. You'll utilize C++, Python, and various ML techniques to optimize model performance. This role requires 2 years of software development experience and expertise in machine learning infrastructure.
You hold a Bachelor’s degree or equivalent practical experience and have at least 2 years of experience in software development using C++ and Python. You possess a solid understanding of Machine Learning (ML) infrastructure, including model deployment, evaluation, optimization, and data processing. Your experience includes working with AI/ML techniques such as Generative AI, Computer Vision, or Natural Language Processing (NLP). You have a strong foundation in data structures and algorithms, and you are familiar with deep learning and neural networks. Additionally, you have knowledge of Unix/Linux environments, which is essential for this role.
You thrive in collaborative environments and are eager to bring fresh ideas to the table. You understand the importance of debugging and tracking issues, and you are adept at analyzing the sources of problems to implement effective solutions. You are passionate about developing technologies that impact billions of users and are excited about the opportunity to work on critical projects at Google.
A Master's degree or PhD in Computer Science or a related technical field would be a plus. Experience in statistical data analysis and familiarity with large-scale system design would also enhance your candidacy. You are someone who enjoys tackling complex challenges and is motivated by the potential to innovate in the field of AI and machine learning.
As a Machine Learning Engineer III at Google, you will work on projects that are critical to the company's needs, particularly in the area of Ads Click Quality. You will be responsible for implementing solutions in specialized ML areas, contributing to model optimization, and enhancing data processing capabilities. Your role will involve collaborating with cross-functional teams to ensure that the solutions you develop meet the high standards expected at Google.
You will engage in the full lifecycle of machine learning projects, from initial design through deployment and monitoring. This includes triaging product or system issues, debugging, and tracking the impact of your solutions on hardware, network, or service operations. You will have the opportunity to switch teams and projects, allowing you to grow your skills and adapt to the evolving needs of the organization.
Your contributions will directly influence how Google handles information at massive scale, extending beyond web search. You will be part of a team that is dedicated to pushing the boundaries of technology and creating innovative solutions that enhance user experiences.
Google offers a dynamic work environment where you can collaborate with some of the brightest minds in the industry. You will have access to cutting-edge technologies and resources to support your work. The company values diversity and encourages you to apply even if your experience doesn't match every requirement. Google provides competitive compensation and benefits, fostering a culture of growth and development for all employees. You will have the chance to make a significant impact on the products and services that millions of users rely on every day.
Apply now or save it for later. Get alerts for similar jobs at Google.