Minimum qualifications:

• Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and and 2 years of experience in the job offered or in a Research Engineer-related occupation
• Position requires 2 years of experience in the following: Algorithm design for machine learning applications; Statistical analysis for machine learning; Python or C++; TensorFlow or JAX; Software engineering for large-scale ML projects

About the job

The US base salary range for this full-time position is $147,000 - $211,000 + 15% Bonus Target + equity + benefits. Transfer compensation is determined algorithmically and is non-negotiable. Learn more about how a transfer may affect your compensation package, how location changes affect compensation, and about benefits at Google at go/benefits

Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Responsibilities

• Apply advanced machine learning models and research to solve high-impact, real-world problems through rapid prototyping and experimental design
• Develop high-quality, scalable code in Python or C++ by translating complex research concepts into robust algorithms and software libraries
• Train, evaluate, and iteratively improve the performance of machine learning models and agents throughout the entire research and development cycle
• Plan and execute multi-week projects, independently solving technical challenges and ensuring your work aligns with broader team goals
• Collaborate closely with research scientists and engineers, clearly communicating project plans, developments, and experimental results to diverse audiences. Provide software design expertise to research projects, writing effective design documents and contributing to the enhancement of team tools and processes