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Open nowFirst seen 3 hours ago

Senior Research Engineer, GenMedia Safety, DeepMind

Google DeepMind147 open roles

Where
Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA
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Your applicationOpen nowSenior Research Engineer, GenMedia Safety, DeepMindGoogle DeepMind · Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google DeepMind's own form.

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. Google DeepMind postings stay open a median of 24 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: first seen 3 hours ago

Google DeepMind median: 24 days open

The posting

Applicants 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 GenMedia 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 DeepMind, 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 GenMedia models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, Search, and YouTube.

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.

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

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Develop solutions for GenMedia 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.
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