Machine Learning Engineer • Senior

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 5 years of experience in software development across various programming languages. You possess at least 3 years of experience in testing, maintaining, or launching software products, and have a solid foundation in software design and architecture. Your expertise extends to machine learning infrastructure, where you have spent 3 years working on model deployment, evaluation, and data processing. You are familiar with speech/audio technologies, reinforcement learning, and other related ML fields. Your experience with C++ and cloud or data center compute technologies is a significant asset, as is your background in AI infrastructure software and storage systems. You have a proven track record of leading technical initiatives across cross-functional teams, demonstrating excellent communication and problem-solving skills.

What you'll do

In this role, you will partner with TPU hardware and software teams to design, develop, and validate systems for standalone deployment. You will collaborate with cross-functional leadership to drive quality project delivery and shape the future of machine learning infrastructure. Your responsibilities will include providing technical guidance and mentorship to engineers, promoting their professional growth and team development. You will also be involved in developing next-generation technologies that change how billions of users connect and interact with information. Your work will require you to handle information at massive scale, extending well beyond web search, and you will be expected to bring fresh ideas from various areas, including information retrieval, distributed computing, and large-scale system design.

What we offer

At Google, you will be part of a team that is dedicated to innovation and excellence. We offer competitive compensation and benefits, along with opportunities for professional development and growth. You will work in a collaborative environment that values diversity and encourages you to apply even if your experience doesn't match every requirement. Join us in shaping the future of technology and making a significant impact on the world.