PhD Researcher: Vision-Language ML for Identity Security

Entrust

Paris

Hybrid

EUR 42,000 - 56,000

Full time

9 days ago
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Benefits offered by this job

Flexible work options
Mentorship by senior scientist

Job summary

Entrust is seeking a PhD CIFRE Researcher to join the Onfido Applied Science team. You will explore Vision Language Models for fraud detection, face matching and document extraction, training on large-scale datasets with multi-GPU clusters.

You will be mentored by a senior scientist and collaborate with 15+ Applied Scientists in Paris and London. The role emphasizes publishing at conferences and advancing biometrics and document understanding while using Python, PyTorch, TensorFlow, and cloud

Qualifications

  • Currently enrolled in a Computer Science Master’s or PhD degree or a related field.
  • Proficiency with a modern deep learning framework (PyTorch or TensorFlow).
  • Ability to write research code in Python.
  • Strong communication and collaboration skills.
  • Strong willingness to learn.

Responsibilities

  • Contribute to research on Vision Language Models for fraud detection, face matching and document extraction.
  • Work on unique, large-scale image and video datasets and train models on state-of-the-art GPUs.
  • Publish at international conferences, pushing the state-of-the-art on biometrics and document understanding.
  • Be mentored by a senior machine learning scientist to ensure success in your mission.
  • Be part of a vibrant team of 15+ Applied Scientists based in Paris and London.

Skills

PyTorch
Python
Communication
Collaboration
Deep learning

Education

Master's or PhD in Computer Science

Tools

TensorFlow

Job description

Entrust is seeking a PhD CIFRE Researcher to join the Onfido Applied Science team. You will explore Vision Language Models for fraud detection, face matching and document extraction, training on large-scale datasets with multi-GPU clusters.

You will be mentored by a senior scientist and collaborate with 15+ Applied Scientists in Paris and London. The role emphasizes publishing at conferences and advancing biometrics and document understanding while using Python, PyTorch, TensorFlow, and cloud

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