Research Engineer (Machine Learning, Visa Sponsored)

London, England, United Kingdom · Research

Description

Group: Technology | Function: Research

We are looking for machine learning and computer vision experts to help us shape and develop our ID verification solution. We apply cutting-edge ML techniques in our core product to classify documents, identify physical forgeries, extract data, verify user liveness, and match facial biometrics to securely verify the user’s identity. As part of the research team you will primarily help contribute to the general technical direction working with our product and engineering teams to develop new features that make use of either computer vision or machine learning models.

What problems will you be solving?

Our engineering teams work on several interesting challenges: detecting physical and digital forgeries, extracting textual and visual data from identity documents, evaluating photo content and quality, detect user impersonation attempts, verifying legitimate users through facial recognition, and making complex verification data easy for our customers to use and understand

As a Research Engineer (Machine Learning) you will:

THE COMPANY

We’re building the new identity standard for the internet.

Whether you want to open a bank account or hire a car, our lives are moving online. That means millions of everyday interactions now happen digitally—without ever meeting anyone face-to-face. Increasingly, our identities are becoming the new currency which we use to access online services. But with half the world being unbanked, and identity fraud on the rise, that’s becoming more and more difficult. So our mission is to create an open world, where identity is the key to access.

We use machine learning to assess whether a user’s government-issued ID is genuine or fraudulent, and then compare it against their facial biometrics. As a global leader in computer vision, our AI learns to identity fraud as it evolves over time. Our goal is to apply cutting-edge research to build powerful, simple products that drive inclusion and safety online—without compromising on user privacy.

That’s how we give companies like Revolut, Zipcar and Bitstamp the assurance they need to onboard users remotely and securely across 195 countries… and we’re just getting started!

Founded in 2012, we're a diverse, global team of 250 technologists spread across 6 countries. We've also received over $60m in funding from world-class technology investors including Salesforce and Microsoft.

You can learn more about our team and the work we do on our Onfido blog.

We use a lot of exciting technology. Our engineers are flexible about technology and pick the right tool for the job:

You can learn more about our product engineering team and the work we do on our Tech blog.

Requirements

What we're hoping to see highlighted on your CV and application:

Essential skills:

Desired skills:

Values and behaviours:

To be a great fit at Onfido, we look for individuals who share our values. We have over 35 nationalities in our growing team, making this an exciting and culturally enriching place to work. Check out the team and Life at Onfido!

Benefits

We're committed to making Onfido a fantastic place to work, so we go to great lengths to give you what you need to succeed. You’ll receive:

OTHER INFORMATION

Live Date: 14 August 2019

Close Date: 13 September 2019

Salary: Highly competitive

The interview process will involve:

This process should take around two to three weeks, depending on diaries.

Once complete and provided we make you an offer, we will ask you to undertake a background check prior to joining Onfido. We consider this necessary in order to protect Onfido, our clients, and the personal data that we process.

We are an equal opportunity employer and value diversity at Onfido. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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