Software Engineer, Machine Learning Infrastructure, Google Cloud Platform

Who you are

You hold a Bachelor's degree in Computer Science or a related engineering field, or possess equivalent practical experience. With at least 2 years of experience programming in Python, C++, or Java, you have a solid foundation in software development. Your experience includes developing large-scale infrastructure, distributed systems, or networks, and you are familiar with compute technologies, storage, or hardware architecture. You have at least 1 year of experience working with Machine Learning infrastructure, including model deployment, evaluation, and data processing. A Master's degree or PhD in a technical field is preferred, along with 5 years of experience working with enterprise and cloud technology systems.

You are knowledgeable about Large Language Model frameworks, such as NeMo Megatron or MaxText, and have hands-on experience with Kubernetes or Slurm. You thrive in collaborative environments and are eager to contribute to projects that impact millions of users. You are passionate about developing innovative solutions and enjoy tackling complex challenges in machine learning and infrastructure.

What you'll do

As a Machine Learning Engineer at Google, you will work on critical projects that shape the future of technology. Your responsibilities will include designing and developing large-scale machine learning infrastructure that supports various applications. You will collaborate with cross-functional teams to ensure that the infrastructure meets the needs of both internal and external users. You will also be involved in model deployment and evaluation, ensuring that machine learning models perform optimally in production environments.

You will provide technical guidance and support to early adopter customers, gathering feedback to inform product direction. Your role will require you to stay updated on the latest advancements in machine learning and infrastructure technologies, allowing you to bring fresh ideas to the table. You will contribute to the development of technical assets and documentation, ensuring that knowledge is shared across the organization.

In addition to your technical contributions, you will play a key role in shaping the solution direction and prioritizing projects based on business impact. You will work closely with product and engineering teams to define requirements and deliver high-quality solutions that meet customer needs. Your work will directly influence Google's ability to handle information at massive scale, impacting billions of users worldwide.

What we offer

At Google, we offer a dynamic work environment where innovation thrives. You will have the opportunity to work with some of the brightest minds in the industry, tackling challenges that push the boundaries of technology. We provide competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a culture that values collaboration, creativity, and continuous learning, allowing you to make a meaningful impact in your role.

We encourage you to apply even if your experience doesn't match every requirement. Your unique perspective and skills could be the perfect fit for our team. Join us in shaping the future of technology and making a difference in the world.