DeepMind

Research Engineer, Multimodal Reasoning For Information Literacy

DeepMind
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3 months ago
Mountain View, CA, USAMid Level

Base Salary

$174k - $252k/yr

Responsibilities

  • Rapidly prototype computer-vision and multimodal machine-learning techniques for determining the authenticity of media information.
  • Design and train multimodal models capable of complex visual reasoning.
  • Perform exploratory analysis to guide experimentation and research directions.
  • Collaborate with product teams to advance research development.
  • Implement tools, libraries, and frameworks that enable and accelerate new research.
  • Report and present research findings, software developments, experimental results, and data analysis.
  • Collaborate with internal and external scientific domain experts.

Requirements

  • PhD or Master’s degree in Computer Science, AI, ML, or equivalent practical experience.
  • At least 2 years of relevant experience developing computer-vision techniques or multimodal machine-learning models.
  • Software development experience using Python and deep-learning frameworks such as JAX, TensorFlow, or PyTorch.
  • Strong quantitative skills in mathematics and statistics.
  • Experience exploring, analyzing, and visualizing data.
  • Experience training and deploying large-scale models is advantageous.
  • Experience with video understanding is advantageous.
  • Experience with large language models, prompt engineering, few-shot learning, post-training techniques, and evaluations is advantageous.
  • Research or engineering achievements such as publications in peer-reviewed conferences or journals are advantageous.

Benefits

  • Full-time position with bonus, equity, and benefits.

Tech Stack

PythonPyTorchTensorFlow

Categories

AI ResearchML Engineering