Machine Learning Engineer • Senior

Who you are

You have a Bachelor’s degree or equivalent practical experience, along with 8 years of experience in software development. With 7 years of experience leading technical project strategy, you have a strong background in ML design and optimizing industry-scale ML infrastructure, including model deployment, evaluation, data processing, debugging, and fine-tuning. You possess 5 years of experience in design and architecture, as well as testing and launching software products. Your expertise extends to state-of-the-art GenAI techniques, such as LLMs, Multi-Modal, and Large Vision Models, or related concepts like language modeling and computer vision. You also have a Master’s degree or PhD in Engineering, Computer Science, or a related technical field, and 8 years of experience with data structures and algorithms. Your leadership experience spans 5 years in a technical role, guiding project teams and setting technical direction, and you have 3 years of experience working in complex, matrixed organizations involving cross-functional projects.

What you'll do

As a Senior Staff Software Engineer at Google, you will drive technical project strategy and lead large-scale ML infrastructure projects. You will oversee the design and implementation of state-of-the-art GenAI solutions, ensuring alignment and clarity across teams on goals, outcomes, and timelines. Your role will involve managing project priorities, deadlines, and deliverables while influencing and coaching a distributed team of engineers. You will collaborate with cross-functional teams to develop next-generation technologies that change how billions of users connect and interact with information. Your contributions will be pivotal in shaping the future of AI and machine learning at Google, as you work on high-impact projects that require innovative thinking and technical expertise.

What we offer

At Google, you will be part of a team that develops technologies at massive scale, extending beyond web search. You will have the opportunity to work with fresh ideas from various areas, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, and natural language processing. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us to make a significant impact on the future of technology and AI.