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Senior Research Engineer, GenMedia Safety, DeepMind

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 174000 - 253000 USD Yearly USD 174000.00 253000.00 YEAR
Job Description & How to Apply Below
Senior Research Engineer, Gen Media Safety, Deep Mind

_corporate_fare_ Deep Mind _place_ Mountain View, CA, USA;
New York, NY, USA; +2 more; +1 more

_info_outline_

XApplicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
** Mountain View, CA, USA;
New York, NY, USA;
San Francisco, CA, USA** .

*
* Minimum qualifications:

*
* + PhD in Computer Science, a related field, or equivalent practical experience.

+ 2 years of experience leading a research agenda.

+ 2 years of experience with machine learning algorithms, research methodologies, and language modeling.

*
* Preferred qualifications:

*
* + 1 year of experience leading research efforts and influencing other researchers.

** About the job*
* The Gen Media Safety team develops the data and algorithmic solutions that define the safety and behavior of GDM's latest image and video generation models. In this role, you will build and deploy innovations that impact millions of users. This is a collaborative role focused on delivering effective outcomes across our internal and external platforms.

Artificial Intelligence could be one of humanity's most useful inventions. At Google Deep Mind, we are a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for public benefit and scientific discovery, and collaborate with others on critical issues, ensuring safety and ethics are the priority.

You will be comfortable both with designing approaches to new research questions and executing the technical implementation of research ideas. You will have the opportunity to work directly on Nano Banana (GDM's core image generation capability), OMNI (GDM's core video generation capability), and successor Gen Media models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, Search, and You Tube.

Artificial intelligence will be one of humanity's most transformative inventions. At Google Deep Mind, 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174,000 - $252,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google () .

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google () .

** Responsibilities*
* + Develop solutions for Gen Media models that balance user experience, safety, and scalability.

+ Utilize data and algorithmic reasoning to ensure image-generation models remain safe, and helpful.

+ Collaborate with policy experts to convert, ambiguous safety guidelines into actionable technical implementations.

+ Design and maintain protocols to identify and bridge gaps in model safety.

+ Execute experiments to inform safety strategies while innovating rapid, scalable mitigations for high-priority, time-sensitive escalations.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 ( Know Your Rights  10 20.pdf) ,Belonging at Google ((Use the "Apply for this Job" box below).) , andHow we hire () .

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form…
Position Requirements
10+ Years work experience
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