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Senior Research Engineer, Multimodal Reasoning and Media Forensics

Google DeepMind · Mountain View, CA, USA · San Francisco, CA, USA

Frontier labonsitesenior$174k–$252k
Apply on the lab’s site ↗

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)
More about Google DeepMind →
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