Research Engineer, Multimodal AI at Google DeepMind

Job Description:

Latest job information from Google DeepMind for the position of Research Engineer, Multimodal AI. If the Research Engineer, Multimodal AI vacancy in Mountain View, CA matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Google DeepMind for the position of Research Engineer, Multimodal AI below matches your qualifications.

Research Engineer position to help advance the state of the art in multimodal AI, and bring its benefits to Google products used by billions of people worldwide.

Our team at Google DeepMind works on cutting-edge research to advance the foundational capabilities of multimodal AI systems. In addition to producing highly-cited research published at top academic venues, our innovations land in flagship models like Gemini, and in Google products used by people every day.

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, 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.

You will be part of the REMY (Research & dEvelopment in Multimodal technologY) team in the Media Understanding organization, at Google DeepMind. In this role, you will have the opportunity to push forward state-of-the-art research in multimodal AI representation models, in the context of recent advancements in multimodal foundation models generally. You'll be at the forefront of developing models that power Google products used by billions of people worldwide. Your work will directly impact how these products understand and interact with images, text and video. This is a unique opportunity to shape the future of multimodal AI and its applications in a dynamic and impactful environment.

We are a team of research/software engineers, research scientists, and machine learning experts, working together to enable superhuman understanding of the multimodal world.

You'll be developing the next SOTA models for multimodal understanding. Your work will include researching new modeling techniques, implementing research ideas, running experiments to evaluate improvements, and identifying new opportunities.

As a member of the Media Understanding team, you will be responsible for conducting fundamental and applied research in multimodal AI (computer vision, language understanding, machine learning, and related areas). Your job responsibilities will include:

• Conducting core research in the areas of computer vision, language understanding, multimodal models, large scale AI models and other key computer vision tasks.
• Training and evaluating AI models for a variety of use cases. 
• Researching, implementing, and adapting state of the art deep learning approaches for Google's use cases
• Collaborating closely with other GDM and partner teams to make progress towards building the most advanced representation models.

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

We are an applied research team that takes on challenging real-world problems and thrives on finding solutions in the presence of ambiguity. In order to set you up for success as a Research Engineer/Scientist at Google DeepMind, we look for the following skills and experience:

• Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 2+ years of relevant experience.
• Conduct research to identify and address impactful problems inspired by current and future real-world needs. Investigate and develop novel solutions by studying related work, conducting experiments, and constructing prototypes and demonstrations.
• Innovate and assess new machine learning models and techniques for pilot projects, quickly demonstrating viability and potential impact. Transform successful prototypes into scalable solutions for wider integration within Google's products.
• Collaborate with product teams to drive the implementation of research insights, fostering innovation and the development of new products.

In addition, the following would be an advantage: 

• Strong research experience and publication record in top tier conferences.
• Experience with core software engineering and applied implementations of AI 
• A good team player who has demonstrated that they can work across teams.

The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: October 13, 2025

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

At Google DeepMind, 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 condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Job Info:

• Company: Google DeepMind
• Position: Research Engineer, Multimodal AI
• Work Location: Mountain View, CA
• Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Research Engineer, Multimodal AI at the office Mountain View, CA above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.