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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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  • Applied Science Intern

    Entrust
    Paris, France
    Found 1 month ago
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    Found 1 month ago
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    FRIEDRICH VORWERK Unternehmensgruppe
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    Found 1 month ago
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    KREAN Group
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Applied Science Intern

Entrust
Found 1 month ago
Location
Paris, France
Duration (Months)
3 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • machine learning
  • computer vision
  • deep learning
  • VLMs
  • python
  • pytorch
  • tensorflow
  • dask
  • AWS
  • git

Soft Skills

  • communication
  • collaboration
  • willingness to learn

Job Description

We are looking for an Applied Science Intern in Paris, France to join our team and and develop machine learning and computer vision models for the Entrust product lines, in particular fraud detection and data extraction on government IDs and biometrics data. You will work together with a team of scientist who will coach and train you during your internship. We use state-of-the-art technology (deep learning, VLMs), own a large proprietary dataset of images and videos and use a multi-GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. We publish our work [1] [2] [3] and attend international conferences.

Requirements

  • 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

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • Practical experience in deep learning, especially for computer vision tasks.
  • Prototyping ideas from research papers.
  • Working knowledge of cloud computing (preferably AWS) and tools such as git.
▶Apply Now

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