Applied Science Intern

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 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]

[3]

Responsibilities:

• You will contribute to research on Vision Language Models (VLMs) for fraud detection, face matching and document extraction
• You will work on unique, large-scale image and video datasets and train models on state-of-the-art GPUs
• Your work will impact products used by dozens of millions of users worldwide
• You will be mentored by a senior machine learning scientist to make sure you are successful in your mission
• You will have the opportunity to publish and open-source your work
• You will 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.

For more information, visit

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Entrust Corporation is an EOE/AA/Veteran/People with Disabilities employer.

NO AGENCIES, NO RELOCATION

At Entrust, we don't just offer jobs – we offer career journeys. Here is what you can expect when you join our team:

• Career Growth: Whether you're a budding developer or a seasoned expert, we're invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.

• Flexibility: Life is all about balance. Whether you're remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.

• Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.

We believe in securing identities—but it doesn't stop there. At Entrust, we're passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we're creating a community where everyone is encouraged to be themselves.

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

. 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

.

Recruiter:

Grace