ZipRecruiter

Log In

1

Deepmind Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsDeepmind Jobs

Deepmind information

What is a DeepMind job?

A DeepMind job refers to a role within DeepMind, an artificial intelligence research company owned by Alphabet. DeepMind hires experts in AI, machine learning, neuroscience, and related fields to work on advanced research and real-world applications of AI. Positions range from research scientists and engineers to ethics and policy specialists. Employees contribute to cutting-edge projects in healthcare, robotics, and general AI development.

What are the typical daily responsibilities for someone working at DeepMind?

Professionals at DeepMind generally focus on developing and testing novel AI algorithms, conducting cutting-edge research, and publishing findings in academic conferences or journals. Daily tasks may include collaborating with other researchers and engineers, designing experiments, analyzing large datasets, and participating in team meetings to discuss research directions. Teamwork is central, as projects often require input from experts in multiple disciplines such as neuroscience, engineering, and mathematics. This collaborative environment enables innovative breakthroughs and fosters continuous learning and growth.

What are the key skills and qualifications needed to thrive in the Deepmind position, and why are they important?

To thrive at DeepMind, strong expertise in machine learning, artificial intelligence research, and advanced mathematics is typically required, backed by a degree in computer science or a related field, often at the PhD level. Familiarity with coding languages such as Python or C++, and experience with deep learning frameworks like TensorFlow or PyTorch, is essential. Collaboration, creativity, and complex problem-solving are crucial soft skills for working within multidisciplinary research teams. These abilities enable impactful research, innovative solutions, and effective teamwork in a rapidly evolving AI landscape.

More about Deepmind jobs
What cities are hiring for Deepmind jobs? Cities with the most Deepmind job openings:
What states have the most Deepmind jobs? States with the most job openings for Deepmind jobs include:
What job categories do people searching Deepmind jobs look for? The top searched job categories for Deepmind jobs are:
Deepmind jobs near you
Infographic showing various Deepmind job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Research Engineer, Multimodal Reasoning For Information Literacy

DeepMind

Mountain View, CA • On-site

Full-time

Re-posted 12 days ago

Job description

Snapshot
At Google DeepMind, our research team is dedicated to tackling the most complex challenges in online information quality. We strive to advance the state of the art by developing innovative solutions to detect manipulated media and misleading narratives, ensuring the integrity of digital discourse. A prominent example of our scientific discovery is Backstory. Our interdisciplinary work spans provenance analysis and the creation of tools for AI-assisted information literacy, leveraging our technologies for the widespread public benefit of a safer online environment. We thrive in a supportive environment that encourages rapid prototyping and iteration, driving our research achievements directly into Google's flagship models, including Gemini.
About us
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.
We're a dedicated scientific community, committed to "solving intelligence" and ensuring our technology is used for widespread public benefit.
We've built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don't set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
The role
To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media (images, audio, and videos) on the internet.
Key responsibilities:
  • Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques applied to determining authenticity of media information.
  • Design and train multimodal models capable of complex visual reasoning.
  • Undertake exploratory analysis to inform experimentation and research directions.
  • Engage with product teams to drive the development of our research.
  • Implement tools, libraries, and frameworks to speed up and enable new research.
  • Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.
  • Collaborate with internal and external scientific domain experts.
About you
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
  • PhD/Master's degree in Computer Science, AI, ML, or equivalent practical experience.
  • At least 2 years of relevant experience developing computer vision techniques or multimodal machine learning models.
  • Experience in software development using Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a proven track record of building high-quality research prototypes and systems.
  • Quantitative skills in math and statistics.
  • Experience exploring, analysing and visualising data.

In addition, the following would be an advantage:
  • Experience in training and deployment of large-scale models.
  • Experience with Video Understanding
  • Experience with Large Language Models, prompt engineering, few-shot learning, post-training techniques, and evaluations.
  • A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.

When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously.
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.
The US base salary range for this full-time position is between 174,000 USD - 252,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Apply