Senior Research Engineer — AI/ML Systems & Prototyping

Google LLC; Mountain View (CA); Hybrid; USD 179,000 - 253,000; Full time

Job summary

Google DeepMind is seeking a Research Engineer to advance AI research and translate findings into deployable software at Google Mountain View. The role collaborates with cross-functional teams and may support a hybrid work schedule following Google policy.

The candidate will design and prototype ML systems, develop scalable Python/C++ libraries, and lead long-term projects from ideation to delivery while maintaining high research quality and safety standards.

Qualifications

• Bachelor’s degree or Master’s degree with requested fields and years of experience.
• Experience 3+ years in statistical data analysis, Python or C++, infrastructure and pipeline design, software testing, and ML/AI experimentation design.

Responsibilities

• 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 research into practical applications.
• Drive long-term research projects from ideation to completion by scoping needs, managing resources, and solving ambiguous problems.
• Train, evaluate, and iterate on deep neural models and reinforcement learning algorithms to improve agent performance.
• Influence engineering practices by championing code reviews, mentoring, and clear communication between research and engineering.

Skills

Python

C++

Statistical data analysis

Infrastructure design

Software testing frameworks

ML/AI experimentation design

Education

Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field

Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field

Job description

Google DeepMind is seeking a Research Engineer to advance AI research and translate findings into deployable software at Google Mountain View. The role collaborates with cross-functional teams and may support a hybrid work schedule following Google policy.

The candidate will design and prototype ML systems, develop scalable Python/C++ libraries, and lead long-term projects from ideation to delivery while maintaining high research quality and safety standards.