The Senior Research Engineer role at Google focuses on applying advanced research ideas to high-impact problems within the AI domain. The position is part of Google DeepMind, which is dedicated to advancing AI development for global challenges and product innovation. The engineer will work in a collaborative environment, mentoring junior team members and influencing engineering best practices. This role emphasizes the translation of complex research into practical applications using machine learning frameworks.

• PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 2 years of experience in a Research Engineer-related occupation.
• Alternatively, a Master’s degree in the same fields with 5 years of relevant experience is acceptable.
• 2 years of experience in Python or C++.
• Experience in applying machine learning theory.
• Experience in development with Tensorflow, JAX, or PyTorch machine learning frameworks.
• Experience in leading a research agenda and applied research from proof-of-concept to implementation.

• Apply research ideas to high-impact problems by prototyping, curating datasets, and deploying optimized machine learning systems.
• Architect and implement scalable software libraries and high-quality code in Python or C++ to translate complex research into practical applications.
• Drive high-stake, long-term research projects from ideation to completion by scoping project needs, managing resources, and solving ambiguous problems.
• Train, evaluate, and iterate on deep neural models and reinforcement learning algorithms to continually improve agent performance and achieve research objectives.
• Influence engineering best practices by championing code reviews, mentoring team members, and facilitating clear communication between research and engineering.

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