Senior Research Engineer, Multimodal Reasoning and Media Forensics
Google DeepMind · Mountain View, CA, USA · San Francisco, CA, USA
Frontier labonsitesenior$174k–$252k
At a glance
Highlights
- Advance solutions to detect manipulated media and misleading narratives online.
- Prototype multimodal models capable of complex visual reasoning for authenticity.
- Drive research achievements directly into Google flagship models including Gemini.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
PhD-level researcher passionate about online information integrity and multimodal reasoning, eager to rapidly prototype and translate exploratory research into real-world impact with product teams.
Requirements
- PhD in Computer Science, AI, ML or related field or equivalent practical experience
- 2 years of software development or ML research experience using Python and deep learning frameworks
- 2 years of experience in training and deployment of large-scale models
- 2 years of experience developing computer vision or multimodal machine learning models
- One or more peer-reviewed publications or public preprint repositories (e.g., arXiv)
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
First seen · Last seen