Applied Scientist Intern
il y a 3 semaines
Career Growth, Flexibility and CollaborationEntrust 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 impactThe 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 Entrust Applied Science team as a research intern. The team consists of 20+ Applied Scientists located in 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.We use state-of-the-art technology (deep learning, Vision and Language Models), 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 for fraud detection, face matching and document extractionYou will work on unique, large-scale image and video datasets and train models on state-of-the-art GPUsYour work will impact products used by dozens of millions of users worldwideYou will be mentored by a senior machine learning scientist to make sure you are successful in your missionYou will have the opportunity to publish and open-source your workYou will be part of a vibrant team of 15+ Applied Scientists based in Paris and LondonBasic Qualifications: Currently enrolled in a Computer Science Master's or PhD degree or a related fieldProficiency with a modern deep learning framework (PyTorch or TensorFlow)Ability to write research code in PythonStrong communication and collaboration skillsStrong willingness to learnPreferred 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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Applied Scientist Intern
il y a 12 heures
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Applied Scientist Intern
il y a 2 jours
Paris, Île-de-France Entrust Temps pleinCareer Growth, Flexibility and CollaborationEntrust 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 impactThe...
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il y a 5 jours
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