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Career Growth, Flexibility and Collaboration!
Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. Headquartered in Minnesota, we offer our colleagues the ability to work globally, in a flexible and collaborative environment. Our team makes an impact!!
The Company: Entrust relies on curious, dedicated and innovative individuals whom anticipate the future and provide solutions for a more connected, mobile and secure world. Entrust’s technologies and expertise help government agencies, enterprises and financial institutions in more than 150 countries serve and safeguard citizens, employees and consumers.
We Believe: Securing identities is most effective when we value all identities. We are committed to ensuring that, through diversity and inclusion, the many voices that make up our communities are heard. From unconscious bias training for managers to global affinity groups that create connections both within and across our enterprise, Entrust expects and encourages all individuals to accept and respect one another. And, of course, to be themselves.
Position Overview:
You will join the Onfido Applied Science team as a research intern. The team consists of 20+ Applied Scientists located in Paris and London. 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.
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.
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 Bachelor's , 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 www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube
Entrust Corporation is an EOE/AA/Veteran/People with Disabilities employer.
NO AGENCIES, NO RELOCATION
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Updated 1/262024
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 [email protected].
Recruiter:
Grace Rusingiza
