Senior Applied Scientist (computer Vision / Machine Learning)

Onfido lets people prove their identity anytime, anywhere. We’re creating a more open digital world by connecting them to the services they love and need simply, speedily and safely – whether they’re renting a car or opening a bank account. We’re building a full-service suite of AI-powered identity verification solutions with fairness and inclusiveness at their core, and were awarded ‘Outstanding Leader in Accessibility’ and ‘Best Innovation in Algorithmic Bias Mitigation’ and ‘Best AI product in FinTech’ awards at CogX

We are a global, established, technology company having surpassed $130M in annual recurring revenue (ARR) with a prominent position in the global marketplace, and have been repeatedly recognized for our performance and innovation. In 2023, we’ve been awarded ‘Best Fraud Detection and Prevention Company of the Year by Frost & Sullivan, featured as a Strong Performer by Forrester in its 2022 Identity Verification Wave, and named to the CB Insights Fintech 250 for the fourth year running. We've received over $200 million in funding from investors such as TPG Growth, Microsoft, and Salesforce to achieve our vision. We partner with hundreds of businesses to help millions access services every week – from billion dollar institutions to hypergrowth unicorns. We support checks in 195 countries, and 2,500+ document types. With over 1,200 customers worldwide and 500 employees

Our goal is to work together to promote and celebrate an inclusive and diverse community. Collectively, all Onfidoers are committed to creating an environment where everyone can be themselves, and where differences are celebrated. We encourage people from all backgrounds and cultures to come together to solve some of the world's most interesting problems.

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. At Onfido, our AI technologies detect thousands of fraud attacks daily in over a dozen industry verticals from banking to gaming to the crypto-world to shared economies and others. 

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 Europe 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. The awards celebrate the latest innovations in FinTech, blockchain and banking, with other winners including IBM, Stripe and Adyen. We were also listed for the second year running in the RegTech 100 and CBInsights FinTech 250, which ranks the most promising FinTech companies globally.

What you will be doing

• 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.
• Publish research results in national and international conferences and scientific journals. Represent Onfido at national and international scientific conferences.
• Contribute to filing patents.

Essential Skills

• Strong 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.
• Worked with customers to impactfully solve their problems.
• Deep understanding of machine learning theory.
• Strong coding skills in Python 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 signal processing and image processing techniques.
• Working knowledge of cloud computing (preferably AWS) and tools and technologies such as Kubernetes, Docker, Git, etc..