DeepMind
Research Engineer, Multimodal Reasoning For Information Literacy
About this role
Join Google DeepMind's research team to develop multimodal AI systems that detect manipulated media and assess trustworthiness of online content. This role combines machine learning research with practical implementation to advance information literacy and combat digital misinformation.
What you'll do
- Prototype and implement computer vision and multimodal ML techniques for media authenticity detection
- Design and train Vision-Language Models for complex visual reasoning tasks
- Conduct exploratory analysis to identify new research directions
- Collaborate with product teams to translate research into Google's flagship models
- Build tools, libraries, and frameworks to accelerate research workflows
- Present research findings and experimental results to stakeholders
What they're looking for
- Computer vision and multimodal machine learning
- Python and deep learning frameworks (JAX, TensorFlow, PyTorch)
- Software engineering and research prototyping
- Mathematics and statistics
- Data exploration and visualization
- Large-scale model training and deployment
- Video understanding
- Large Language Models and prompt engineering
Benefits
- Competitive salary: $174,000 - $252,000 USD plus bonus and equity
- Work on high-impact research addressing critical societal challenges
- Collaborative, inclusive environment supporting learning and innovation
- Access to cutting-edge AI infrastructure and resources
- Opportunity to publish and present at peer-reviewed venues
- Commitment to equal employment opportunity and workplace accommodations
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DeepMind
DeepMind develops advanced AI systems across multiple domains, including multimodal models for understanding human communication and detecting manipulated media, as well as AI applications in materials science discovery. The company is hiring research engineers and researchers to build foundational AI capabilities, create defenses against digital misinformation, and accelerate scientific discovery through machine learning and computational innovation.
- Website
- deepmind.google.com
Likely interview questions
- Can you walk us through a project where you designed and trained a multimodal model? What were the key challenges and how did you address them?
- Describe your experience with computer vision techniques for detecting manipulated or inauthentic media. What approaches have you found most effective?