Machine Learning Engineer • Mid-Level

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 one or more programming languages. You possess a solid understanding of machine learning concepts, including reinforcement learning and ML infrastructure, and have experience with model deployment and optimization. Your background may include a Master's degree or PhD in Computer Science or related technical fields, and you have a strong grasp of data structures and algorithms.

You are familiar with generative AI and large language models, and you have experience developing accessible technologies. Your expertise extends to search quality or infrastructure, and you are comfortable working with complex systems that handle information at massive scale. You thrive in collaborative environments and are eager to bring fresh ideas to the team.

What you'll do

As a Software Engineer III at Google, you will contribute to the development of next-generation technologies that change how billions of users connect and interact with information. You will implement solutions in specialized ML areas, utilizing ML infrastructure to optimize models and enhance data processing. Your role will involve triaging product or system issues, debugging, and resolving them by analyzing the sources of issues and their impact on hardware, network, or service operations.

You will collaborate with cross-functional teams, including product managers and researchers, to drive innovation in AI and machine learning. Your responsibilities will include developing and optimizing algorithms, contributing to the design of scalable systems, and ensuring the performance and reliability of machine learning models. You will also have the opportunity to mentor junior engineers and contribute to the overall growth of the team.

What we offer

At Google, you will be part of a dynamic team that values creativity and innovation. We offer competitive compensation and benefits, including opportunities for professional development and growth. You will work in an inclusive environment that encourages collaboration and the sharing of ideas. Join us in shaping the future of technology and making a meaningful impact on the world.