Machine Learning Engineer • Senior

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 5 years of programming experience in Python or C++. Your background includes 3 years of experience with machine learning infrastructure, covering model deployment, evaluation, optimization, and data processing. You are skilled in debugging and have a solid understanding of software design and architecture, with at least 1 year of experience in state-of-the-art GenAI techniques, including large language models and multi-modal systems. You also have experience testing, maintaining, or launching software products, and you bring a strong foundation in data structures and algorithms.

You are a proactive problem solver who enjoys working in a collaborative environment. Your experience in a technical leadership role is a plus, and you have a keen interest in developing accessible technologies. You thrive on the challenge of building scalable systems that handle massive amounts of data and are eager to contribute to innovative projects that impact billions of users.

What you'll do

As a Senior Machine Learning Engineer at Google, you will work on critical AI/ML projects that shape the future of Google Cloud. You will design and implement GenAI solutions, leveraging machine learning infrastructure to evaluate trade-offs between different techniques and their application domains. Your role will involve collaborating with cross-functional teams to develop next-generation technologies that enhance user experiences and improve information retrieval.

You will be responsible for triaging product or system issues, debugging, and tracking resolutions by analyzing the sources of issues and their impact on hardware, network, or service operations. Your work will directly contribute to the development of scalable systems that extend beyond traditional web search, ensuring that Google's products meet the needs of users at a massive scale.

What we offer

At Google, you will be part of a dynamic team that values innovation and collaboration. We offer competitive compensation and benefits, including opportunities for professional growth and development. You will have the chance to work on groundbreaking technologies that change how people connect and interact with information. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.