Google DeepMind · 13 hours ago
Research Engineer, Media Integrity
Mountain View, CA
Full-time
Hybrid
Mid, Senior Level
$215K/yr - $250K/yrGoogle DeepMind is a team of scientists and engineers focused on advancing artificial intelligence for public benefit. They are seeking a talented Research Engineer to work on multimodal information quality and media integrity, developing algorithms to assess quality and detect anomalies. The role involves collaboration with researchers and contributing to real-world applications in Google products.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Drive projects by defining key research questions
Design, implement, and evaluate experiments to provide clear answers
Collaborate with other researchers on joint projects
Contribute to real-world impact, by landing your research in Google products and services
Publish research findings in top academic conferences and journals
Stay up-to-date with the latest advancements in the field
Qualification
Required
PhD or Master's degree in Computer Science, Statistics, or a related field
Strong publication record in top machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV) or demonstrated experience in relevant engineering roles
Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, user ranking/assessment algorithms, or anomaly/outlier detection techniques
Experience developing and implementing scalable machine learning pipelines
Preferred
Passion for promoting high information quality
Track record of publications and relevant experience in user understanding or RL
Experience with training, evaluating, or interpreting large language models, and integrating tool use
Proven ability to design and execute independent research projects
Experience with model evaluation, including fairness and bias considerations
Expertise in developing models that assess user interactions and behavior patterns
Experience with anomaly detection in user activity
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Founded in 2010
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Leadership Team
Demis Hassabis
Co-Founder & CEO
Aaron Saunders
VP of Hardware Engineering, Robotics
Recent News
2026-01-25
2026-01-23
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