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Research Engineer, Multimodal Generative AI; Image​/Video

Job in Kirkland, King County, Washington, 98034, USA
Listing for: Google DeepMind
Full Time position
Listed on 2026-03-01
Job specializations:
  • Engineering
    Artificial Intelligence, AI Engineer
  • IT/Tech
    Artificial Intelligence, AI Engineer, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 166000 - 244000 USD Yearly USD 166000.00 244000.00 YEAR
Job Description & How to Apply Below
Position: Research Engineer, Multimodal Generative AI (Image/Video)

Research Engineer, Multimodal Generative AI (Image/Video)

Kirkland, Washington, US
• Seattle, Washington, US

Snapshot

The role of the Research Engineer will be to develop state‑of‑the‑art methods for multimodal generative AI models, with a primary focus on image generation and editing. This role is for the team behind “Nano Banana”.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, we’re 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 widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

Research Engineers at Google Deep Mind lead efforts in developing novel tools, infrastructure, and algorithms toward the end goal of solving and building Artificial General Intelligence.

They are expected to independently build state‑of‑the‑art foundation models and research infrastructure, work with teams on large‑scale AI, and develop solutions to fundamental questions in machine learning and AI.

Key Responsibilities

  • Design, rapidly implement, and rigorously evaluate cutting‑edge deep learning algorithms, data curation, and evaluation infrastructure for multimodal generative AI, with a particular emphasis on image synthesis.
  • Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
  • Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.
  • Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About You

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.
  • Proven experience in deep learning research and development, particularly in generative AI and related to image synthesis. This includes diffusion models and autoregressive generative models. Experience with post‑training is a plus.
  • Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, Tensor Flow, PyTorch), with a track record of building high‑quality research prototypes and systems.
  • Strong publication record at top‑tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV).

Additional Advantages

Demonstrated experience in multimodal generative modeling, especially combining large language models with visual generation (e.g., text‑to‑image/video systems, joint autoregressive and diffusion models).

A keen eye for visual aesthetics and detail, coupled with a passion for creating high‑quality, visually compelling generative content.

A real passion for AI!

What We Offer

At Google Deep Mind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that.

  • Enhanced maternity, paternity, adoption, and shared parental leave.
  • Private medical and dental insurance for yourself and any dependents.
  • Flexible working options.
  • Excellent facilities such as healthy food, an on‑site gym, faith rooms, terraces, etc.

We also offer relocation support for Mountain View.

The US base salary range for this full‑time position is between  166,000 USD –  244,000 USD plus bonus, equity, and benefits.

Equal Employment Opportunity

At Google Deep Mind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related conditions, including breastfeeding, or any other basis protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Note:

In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

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