Multimodal Reasoning Engineer for Info Literacy

Google DeepMind

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

14 days+
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Job summary

Google DeepMind is looking for a Research Engineer specializing in multimodal reasoning to enhance information literacy. Located in Mountain View, California, this role involves developing computer vision and multimodal machine learning solutions to assess media trustworthiness. Candidates should possess a PhD/Master’s in Computer Science, at least 2 years of relevant experience, and proficiency in Python and deep learning frameworks. The position offers a competitive salary range of $174,000 - $252,000, plus bonuses and equity, fostering a diverse workplace committed to equal opportunity.

Qualifications

  • At least 2 years of relevant experience developing computer vision techniques or multimodal machine learning models.
  • Experience in software development using Python and deep learning frameworks.
  • Quantitative skills in math and statistics.

Responsibilities

  • Plan and perform rapid prototyping of computer vision and machine learning techniques.
  • Design and train multimodal models capable of complex visual reasoning.
  • Engage with product teams to drive the development of our research.

Skills

Computer vision techniques
Multimodal machine learning models
Python
Deep learning frameworks (Jax, TensorFlow, PyTorch)
Math and statistics
Data analysis and visualisation

Education

PhD/Master’s degree in Computer Science, AI, ML

Job description

Google DeepMind is looking for a Research Engineer specializing in multimodal reasoning to enhance information literacy. Located in Mountain View, California, this role involves developing computer vision and multimodal machine learning solutions to assess media trustworthiness. Candidates should possess a PhD/Master’s in Computer Science, at least 2 years of relevant experience, and proficiency in Python and deep learning frameworks. The position offers a competitive salary range of $174,000 - $252,000, plus bonuses and equity, fostering a diverse workplace committed to equal opportunity.
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