The Senior Research Engineer role at Google focuses on applying research ideas to high-impact problems in artificial intelligence. The position is part of Google DeepMind, which aims to advance AI development for global challenges and product innovation. The engineer will work on prototyping, curating datasets, and deploying machine learning systems. This role also involves mentoring junior team members and influencing engineering best practices.

• 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 a relevant field and 5 years of experience in the job offered or a related occupation.
• 2 years of experience in Python for Software Development and Machine Learning.
• Experience in machine learning and reinforcement learning algorithm design.
• Knowledge of software design and systems architecture for performance and reliability.

• 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.
• 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.