Principal Applied Scientist (Computer Vision / Machine Learning)

NLP PEOPLE; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A leading AI technology firm in France is seeking an experienced AI expert to lead technical innovation in digital identity solutions. The role involves driving projects, mentoring a team, and leveraging extensive experience in machine learning and computer vision. Ideal candidates will hold a PhD or MSc and have proven success in delivering high-performance products. This position offers an exciting opportunity to work with cutting-edge technologies in a fast-paced environment.

Qualifications

• Extensive experience in machine learning and computer vision, with industry deployment of ML models.
• Track record of delivering high performance ML products.
• Good coding skills in Python and experience with deep learning frameworks.

Responsabilités

• Provide technical leadership for AI scientists and foster a creative culture.
• Drive projects to deliver digital onboarding products.
• Mentor junior scientists and participate in machine learning research.

Connaissances

Machine Learning

Computer Vision

Technical Leadership

Python

Deep Learning Frameworks

Formation

PhD or MSc in Machine Learning or related field

Outils

TensorFlow

PyTorch

Cloud Computing (AWS)

Kubernetes

Docker

Description du poste

Onfido is the new identity standard for the internet. That means we only need an image of your ID and a selfie to prove that you’re you. In doing so, we help millions of people connect to the services they need and love more easily, speedily and safely than ever before, whether it’s renting a car or opening a bank account. Our vision is to create an open world where identity is the key to access.

We’ve received over $200 million in funding from world-class tech investors including TPG Growth, Microsoft, Salesforce to back our vision. And we’re just getting started.

Do you want to build the world’s most sophisticated fraud detection system operating at unprecedented performance levels with error rates of less than 1 in a million (99.9999% performance levels)? Do you want to create state-of-the-art AI solutions to solve some of the most challenging real-world problems in identity verification? Do you want to build the future of digital identity? At Onfido, our AI scientists build the world’s most secure digital onboarding system used by thousands of businesses globally and the next generation of digital identity.

Are you passionate about solving problems in the areas of data efficient ML, uncertainty modeling in neural networks, confidence models, explainable AI, data modeling, domain adaptation, differential privacy and anonymization, lifelong learning, protecting against adversarial attacks, bias mitigation, mobile device noise modeling, human computer interactions and more as applied to mission critical applications in the real world? Are you ready to go beyond building ML models to fundamentally exploring all aspects of the system building from data acquisition to algorithms to data fusion? If so, contact us.

At Onfido we are looking for an exciting and dynamic AI expert who can push the envelope on unsolved problems like uncertainty modelling, interpretable AI, protection against adversarial and Deep Fake attacks, and generalised concept drift detectors within human-in-the-loop systems and deliver real world solutions that work at scale. As a senior AI leader, you will support Onfido’s hyper-growth and passionately deliver real world value using state-of-the-art machine learning and computer vision techniques.

Onfido is one of the most exciting AI companies in London with over 200 million dollars raised through investments from Microsoft, Salesforce, and TPG. Our technology is winning awards, Juniper Research’s Future Digital Awards named Onfido as its Best AI Platform.

Responsibilities:

• Provide technical leadership for a team of highly capable applied AI scientists, fostering a culture of creativity, technical depth and excellence.
• Initiate, plan and drive projects that will bring the next generation of digital onboarding products to the real world that can withstand the most aggressive and determined fraud attacks.
• Design and build high performance end to end systems spanning all parts of the identity verification application from data acquisition, data processing, and post processing.
• Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data.
• Participate in hands-on machine learning research and deliver the results of the research in the form of new products.
• Communicate technical vision and roadmap at multiple levels within the organisation and externally.
• Manage multiple levels of stakeholders (product team, machine learning team, clients).
• Be an external ambassador for Onfido providing thought leadership across the industry in area of expertise.
• Publish research results in national and international conferences and scientific journals.
• Represent Onfido at national and international scientific conferences.
• Contribute to writing grant proposals and filing patents.

Qualifications:

Essential Skills:

• PhD or MSc degree in Machine Learning, Computer Vision or a related quantitative field.
• Extensive experience in machine learning and computer vision, including industry experience deploying ML models to production.
• Track record of successfully delivering high performance ML-driven products.
• Lead a team of machine learning specialists, working collaboratively with engineering and product management.
• Successfully mentored people and teams to achieve their full potential.
• Worked with customers to impactfully solve their problems.
• Deep understanding of machine learning theory.
• Good coding skills in Python (C++ is considered a plus) and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch.

Desirable Skills:

• Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning and related fields.
• Technical experience with conventional (non-DL) computer vision, signal processing and image processing techniques.
• Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc.