Senior Research Engineer

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

corporate_fare Google place Mountain View, CA, USA

• Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of experience in the job offered or in a Research Engineer-related occupation.
• Alternatively, will accept 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 Engineer-related occupation.
• Position requires 3 years of experience in the following: Statistical data analysis; Python or C++; Infrastructure and pipeline design; Software testing and testing frameworks; and ML / AI experimentation design.

About the job

The US base salary range for this full-time position is $178,800 - $253,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .

Position reports to the Google office & may allow for a hybrid schedule 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.

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.

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 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 and achieve research objectives.
• Influence engineering best practices by championing code reviews, mentoring team members, and facilitating clear communication between research and engineering. Communicate research developments, experimental results, and project status clearly to internal teams and the broader external community.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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