<div> <p>Beneath a simple yet elegant user interface lies a complex system of functionalities.<strong> Our AI-powered product uses advanced image recognition, facial verification, face recognition, facial anti-spoofing (liveness detection), and behavior analysis to make identity decisions.</strong> We help our partners build onboarding processes that ensure good people get things done and bad folks get stopped. In order to take our product to the next level, we need world-class data scientists to automate processes historically reserved for humans, and do so at superhuman performance levels. We are making significant investments to create a top-notch machine learning platform for prototyping, training, deploying, and evaluating machine learning models at a massive scale. Together with our world-class data annotation, data curation and MLOps teams, we fuel the AI-powered engine behind our success.</p> <p>As a <strong>Senior Data Scientist</strong> for the <strong>Biometric Solutions team</strong>, your primary responsibility will be to design, build, and implement machine learning models and solutions specifically tailored for our identity verification and biometric authentication products. In this role, you will collaborate closely with Product Managers, Data Scientists, Machine Learning Engineers, and other data professionals to develop state-of-the-art facial recognition, face verification, and liveness detection algorithms. You will drive projects like facial anti-spoofing systems and face matching solutions that leverage vector databases for efficient authentication, taking these initiatives from initial prototype through full production deployment.</p> <p><strong>You’ll help us protect honest people online by:</strong></p> <ul> <li><strong>Owning end-to-end responsibility for building biometric machine learning models</strong> from prototyping to production for biometric verification (e.g. face recognition and liveness detection) and and driving measurable impact in live environments</li> <li> <p><strong>Taking full ownership for performance metrics</strong> like verification accuracy and false acceptance rates, and pushing the boundaries of what’s possible under high-security constraints</p> </li> <li> <p><span><strong>Influencing and shaping our in-house models</strong></span>, evaluating external biometric solution vendors, and improving instrumentation to generate valuable insights while creating new machine learning products</p> </li> <li> <p><span><strong>Establishing key metrics, deriving data-driven insights, and conducting experiments</strong></span> to assess the overall product impact of our biometric machine learning solutions on identity verification</p> </li> <li> <p><span><strong>Working both independently and collaboratively</strong></span> with other engineers to define and deliver high-impact product features in the biometrics domain</p> </li> </ul> <p><strong>You are the right future Veriffian for the job if you have:</strong></p> <ul> <li><strong>Previous professional experience in biometrics industry</strong>, successfully delivering high-performance machine learning models in biometric identity verification projects like face recognition or anti-spoofingTheoretical and applied knowledge in Machine Learning concepts with a special focus on Computer Vision and biometric authentication techniques</li> <li>Hands-on experience working with Deep Learning toolkits such as Tensorflow or PyTorch</li> <li>Proficiency in SQL</li> <li>Can effectively communicate the results and trade-offs to both technical and non-technical audiences</li> <li>Enjoy working in a fast-paced, highly fluid, and multi-functional environment.</li> </ul> </div> <div><strong>Why Veriff?<br /></strong>We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world - and this is continually increasing! With a diverse team in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force. </div> <div> <div> </div> <div>When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include...<br /> <ul> <li>Flexibility to work from home</li> <li>Stock options that ensure your share in our success</li> <li>Extra recharge days on top of your annual vacation</li> <li>Comprehensive relocation support to Estonia or Spain</li> <li>Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally</li> <li>Learning and Development &amp; Health and Sports budget that you are free to tailor to your own needs</li> <li>Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary </li> </ul> </div> <div><em>We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates - so rest assured, whoever you are, we want to hear from you!</em><span> </span></div> </div> <div> </div> <div>Please be informed that in the final stage of the recruitment process we may request you to go through identity verification. For more information, please see <a href="https://www.veriff.com/recruitment-privacy-policy" target="_blank">Recruitment Privacy Policy</a>.</div>