PhD Researcher Applied Science

Position Overview:   

You will join the Onfido Applied Science team as a PhD CIFRE Researcher. The team consists of 20+ Applied Scientists located in London and Paris. We develop novel and state-of-the-art machine learning and computer vision models for the Onfido domain of expertise, 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 PhD.

We use state-of-the-art technology (deep learning, Vision and Language), 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: 

·       You will contribute to research on Vision Language Models 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

·       You will publish at international conferences, pushing the state-of-the-art on biometrics and document understanding

·       You will be mentored by a senior machine learning scientist to make sure you are successful in your mission

·       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 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 accessibility@entrust.com.

Recruiter: