Applied Research Scientist

As an Applied Research Scientist at CLEAR, you will be responsible for all aspects of biometrics research and related data science to power CLEAR biometrically enabled services. You will be one of the founding members of the Applied Science team, which offers a unique opportunity to shape new applications. You will optimize existing products and assess the feasibility of new products. What you'll do: Evaluate and tune CLEAR’s biometric SDKs for face, finger, and iris recognition Help engineers validate algorithm improvements in production. Design algorithms or train models to estimate sample quality, demographic differential of algorithms, and user behavior Implement published algorithms and benchmark them on CLEAR’s data Help design and spec out imaging systems to capture the best possible face images Initiate data science and machine learning projects to optimize biometric algorithms in operation for an improved user experience and business efficiency Tackle the most challenging problems first Adhere to strict security and privacy policies when accessing data How you'll measure success: Knowledge of biometric algorithms and how they work in CLEAR’s applications Thorough understanding of biometric performance evaluation under ISO 19795-X, including evaluation of demographic differentials. Guidance to the biometrics team in implementing performance evaluation tools Development of methods and policies to establish more accurate ground truth Theoretical and practical understanding of face, finger and iris sample quality What you're great at: PhD or Master's degree in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, biometrics, or machine learning 5+ years of industry experience in applied research, with a demonstrated track record of successful projects in computer vision, biometrics, or machine learning Strong programming skills in Python, C++, or other relevant languages Experience with machine learning frameworks such as TensorFlow or PyTorch Solid understanding of the probability theory underlying machine learning and data science Excellent communication and interpersonal skills Strong analytical and problem-solving skills, with a keen attention to detail Familiarity with at least one of facial recognition, fingerprint recognition, or iris recognition, preferred How You'll be Rewarded: At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs.  We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match.  The base salary range for this role is $150,000 - 200,000, depending on levels of skills and experience. The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units About CLEAR Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 15+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic. #LI-Hybrid