The Staff Research Engineer role at Google focuses on leading foundational research in machine learning, uncertainty estimation, and automated system diagnosis. This position is part of a team that aims to impact technology used by billions of people through innovative research and development. The engineer will work on integrating breakthroughs into scalable autonomous infrastructure while collaborating with various teams. The role requires a strong background in deep learning and robotics, as well as the ability to publish high-impact research.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 6 years of experience leading research agendas, developing scalable algorithms, or deploying ML models in production or applied research environments.
• Experience with deep learning frameworks such as JAX or TensorFlow.
• One or more scientific publication submission(s) for conferences or journals.

• Scope, lead, and execute foundational research in learning, uncertainty estimation, and automated system diagnosis.
• Develop novel methodologies for out-of-distribution detection and active learning.
• Partner with research leads, software engineers, and product teams to integrate breakthroughs into scalable autonomous infrastructure.
• Author high-impact papers in premier machine learning, computer vision, and robotics venues.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.