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About the Role

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.

Requirements

PhD degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field.
Alternatively, a Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Research Engineering- related occupation.
Experience in Python or C++.
Experience in Algorithm design for machine learning applications.
Experience in Statistical analysis for machine learning.
Experience in Software engineering for large-scale ML projects.
Experience in Designing controlled experimental designing for machine learning analysis.

Skills

Python
C++
Algorithm design for machine learning applications
Statistical analysis for machine learning
Software engineering for large-scale ML projects
Designing controlled experimental designing for machine learning analysis

Location

Venice, CA

Work Type

Full-time
Hybrid

Experience Level

3 years of experience

Education Level

PhD
Master's degree

Salary/Compensations

$147,000 - $211,000

Benefits

15% bonus target
Equity
Benefits determined by role, level, and location

About the Company

We are pushing the boundaries across multiple domains.
Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.