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Research Scientist

Salary: £50,000 - 65,000 per year
Location: Fenchurch St
Company: Yoti
Hours: Full time
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Who we are

Born in 2014, Yoti is a digital identity and biometric technology company that makes it safer for people to prove who they are. The Yoti app was designed with privacy at its core, giving people a secure way to prove their identity and share third-party credentials with organisations and other people.

Today, we have over ten million app downloads around the world. We’ve expanded our offering to a suite of business solutions that span identity verification, age verification and estimation, e-signing, AI anti-spoofing technologies and we continue to think of innovative new offerings.

From day one, we’ve been working to fix an outdated identity system. This is not a journey we make on our own but with policy advisors, think tanks, researchers, academics, humanitarian bodies, our users and everyday people. We are committed to solving identity problems through grassroots research and social purpose initiatives.

About the role and the team

The Research Scientist role sits within our internal R&D Team, who work on a number of exciting projects in the field of computer vision, deep learning and face biometrics. Some of the work the team is doing includes, developing our state-of-the-art age estimation AI model. You could find more information regarding Yoti Age Scan here

Requirements

Essential skills & experience

  • PhD in the areas of computer vision, machine learning or image processing.
  • Strong knowledge of DNN theory and practical experience of applying DNN in computer vision.
  • Strong knowledge of deep learning frameworks such as Tensorflow/Theano/PyTorch etc.
  • Good Python coding skills.
  • Experience working with Git inside a team
  • Ability to write clean and well maintained code.
  • Attention to detail.
  • Strong analytical and problem solving skills with the capability of implementing academic papers into functional prototypes.

Desirable skills & experience

  • First author publications in top tier journals or conferences (e.g. TPAMI, IJCV, ICCV, ECCV, CVPR).
  • Experience working with applications in facial data analysis (e.g. face recognition/verification, pose estimation, face alignment, face behaviour analysis).

Benefits

What’s in it for you?

  • Flexible working
  • Performance based discretionary annual bonus
  • Share Options
  • Internal Share Market
  • Private Medical Insurance
  • Life Insurance
  • Pension
  • Cycle to work scheme
  • 25 days holiday (plus bank holidays)
  • 5 fully paid Selfie Days - for your own personal development, volunteering, charity events, etc
  • Team and company activities, Social clubs ( Football, Yoga, Languages etc), CoderDojo.
  • Continuous learning opportunities (Annual Training budgets, LinkedIn Learning, conferences etc)

This is a great opportunity to join a company that is leading the way for innovative and responsible identity verification. We’re looking for people who can adapt to a fast-paced environment, as well as champion our brand and what we stand for. We value a positive attitude and people who have a collaborative, creative and transparent approach to solving problems.

We believe in equal opportunities

It takes a diverse community of passionate, talented and committed people to build a simpler, more secure way of proving identity. We’re an equal opportunity employer, so we welcome applications from people of all backgrounds, with different outlooks and experiences.

Pre-employment checks

If your application is successful please be aware that as part of our pre-employment checks:

  • We will check your details against fraud prevention databases
  • We will check identity; address match; PEPs and sanctions; bank validation, verification, fraud checks, negative data (CCJ, bankruptcy)
  • If our investigations identify fraud or other criminal offences both when applying for a job and during your employment, we will record the details on the relevant fraud prevention databases. This information may be accessed from the UK and other countries and used by law enforcement agencies and other organisations to prevent fraud.
  • Please contact HR to get information on which fraud prevention databases we use.

Talent Pool

If we consider that you might be suitable for other roles in the future, we will keep your details so we can contact you about these other roles. If you do not want us to keep your details for this purpose, please e-mail HR or let us know at any stage of the recruitment process. For more information please read our Applicant Privacy Notice.

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