Research Engineer, Media Integrity

DeepMind(6 days ago)

San Francisco, CA, Mountain View, CAOnsiteFull TimeSenior$215,000 - $250,000Research

About this role

Research Engineer on Google DeepMind’s information quality research team focused on multimodal media integrity and provenance analysis. The role supports advancing multimodal AI systems and tools for AI-assisted investigations to improve online information reliability. Outputs from the team are intended to influence both academic research and Google products and flagship models like Gemini.

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Required Skills

Machine Learning
Multimodal
Computer Vision
Reinforcement Learning
Anomaly Detection
Model Evaluation
Scalable Pipelines
Research Publication

Qualifications

PhD in Computer Science, Statistics or related
Master's Degree in Computer Science, Statistics or related

About DeepMind

deepmind.google

Google DeepMind is an AI research lab within Alphabet focused on solving intelligence and building safe, general-purpose artificial intelligence to advance science and benefit humanity. It develops cutting-edge machine learning methods—especially deep learning, reinforcement learning and neuroscience-inspired models—and has produced landmark systems such as AlphaGo, AlphaZero and AlphaFold. DeepMind partners with academia, healthcare providers and other Google teams to apply AI to scientific discovery, medicine, energy efficiency and real-world problems. The organization emphasizes safety, interpretability and responsible deployment alongside publishing research and tools for the wider community.