Senior Research Engineer
Google - Mountain View, CA, USA
Posted Jun 9, 2026
Benefits
- Parental leave
- 18 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 18 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked May 7, 2026
- Salary
- $174K-$252K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
83% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Research Engineer Mountain View, CA, USA The US base salary range for this full-time position is $174,000 - $252,000 + 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 Mountain View, California 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. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. 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
Read the full description at www.google.com. FewerJobs shows a preview and links to the original posting.
Apply link not verified; last-live date unavailable.
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