The Research Engineer position at Google focuses on applying advanced machine learning models to solve real-world problems. The role is part of the Google DeepMind team, which is dedicated to advancing AI development for public benefit and scientific discovery. The engineer will work on developing scalable code and algorithms while collaborating with research scientists and engineers. This position offers opportunities for mentorship and professional growth within a pioneering AI lab.

• Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field.
• 2 years of experience in algorithm design for machine learning applications.
• 2 years of experience in statistical analysis for machine learning.
• Proficiency in Python or C++.
• Experience with TensorFlow or JAX.
• Experience in software engineering for large-scale ML projects.

• Apply advanced machine learning models and research to solve high-impact, real-world problems.
• Develop high-quality, scalable code in Python or C++ by translating complex research concepts into robust algorithms.
• Train, evaluate, and iteratively improve the performance of machine learning models throughout the research and development cycle.
• Plan and execute multi-week projects, independently solving technical challenges.
• Collaborate closely with research scientists and engineers, communicating project plans and experimental results effectively.

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