Applied Science Intern - Paris, France

Entrust Datacard; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading security solutions provider seeks an Applied Science Intern in Paris, France to join the team focused on developing machine learning models for fraud detection and data extraction. This position offers mentorship from experienced scientists and the chance to work with state-of-the-art technology. Candidates should be pursuing a Master's or PhD in Computer Science, with proficiency in deep learning frameworks like PyTorch or TensorFlow. Join us to help shape the future of identity-centric security.

Qualifications

• Currently enrolled in a Computer Science Master's or PhD degree or 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.

Responsabilités

• Contribute to research on Vision Language Models for fraud detection.
• Work on large-scale image and video datasets.
• Impact products used by millions of users.
• Be mentored by a senior machine learning scientist.
• Have the opportunity to publish and open-source work.

Connaissances

Deep learning

Python

Communication

Collaboration

Willingness to learn

Formation

Master's or PhD in Computer Science or related field

Outils

PyTorch

TensorFlow

AWS

Git

Description du poste

Join us at Entrust

At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.

Get to Know Us

Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.

You will join the Onfido Applied Science team as a research intern. The team consists of 20+ Applied Scientists located in London and Paris. We develop machine learning and computer vision models for the Onfido 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.

About the Team

You’ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI-powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely.

Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base.

Position Overview

We are looking for an Applied Science Intern in Paris, France to join our team 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.

[1] FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model, Yuanwei Li, Lisa Ivanova, Martins Bruveris, accepted at BMVC’2024, arxiv

[2] https://github.com/gietema/clusterfun

[3] https://github.com/martinsbruveris/tensorflow-image-models

Responsibilities

• Contribute to research on Vision Language Models (VLMs) 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.
• Impact products used by dozens of millions of users worldwide.
• Be mentored by a senior machine learning scientist to ensure success in the mission.
• Have the opportunity to publish and open-source work.
• Be part of a vibrant team of 15+ Applied Scientists based in Paris and London.

Basic 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.

Preferred Qualifications

• 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.

About Entrust

Entrust keeps the world moving safely by enabling trusted identities, payments, and data protection around the globe. Today more than ever, people demand seamless, secure experiences, whether they’re crossing borders, making a purchase, or accessing corporate networks. With our unmatched breadth of digital security and credential issuance solutions, it’s no wonder the world’s most entrusted organizations trust us.

Ready to Make an Impact?

If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.

Apply today!

For more information, visit www.entrust.com. Follow us on LinkedIn, Facebook, Instagram, and YouTube.

For US roles, or where applicable:

Entrust is an EEO/AA/Disabled/Veterans Employer.

For Canadian roles, or where applicable:

Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation, contact [e-mail].

Recruiter

Grace Rusingiza – [e-mail]