TixelJobs
M
Miteksystems 2via Lever

Machine Learning Engineer (Deepfake & Injection Attack Detection / Face Liveness)

REMOTEPosted 3w ago
ML EngineerMid LevelFull-time

Not sure if you're a good fit?

Upload your resume and TixelJobs AI will compare it against Machine Learning Engineer (Deepfake & Injection Attack Detection / Face Liveness) at Miteksystems 2. Get a match score, missing keywords, and improvement tips before you apply.

Free preview · Your resume stays private

About the Role

About Mitek 
Mitek (NASDAQ: MITK) is a global leader in digital identity verification, biometric authentication, and fraud prevention. Our AI-powered platform combines computer vision, biometrics, and machine learning to help organizations securely onboard users and defend against emerging threats such as deepfakes and AI-driven fraud. 
Trusted by over 7,500 organizations worldwide, Mitek processes millions of identity transactions daily. Headquartered in San Diego, with a strong presence across Spain, France, Mexico, and the UK and the Netherlands. Visit us at www.miteksystems.com.we are driven by a clear mission: protect what’s real. 
At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.​

We know that a workforce reflecting the richness of our communities and customers helps us better serve their needs. These lived experiences influence our decisions, shape our products, services, and help us grow with intention. When it comes to talent, our goal is clear: to discover exceptional individuals and to ensure they discover us. We prioritize drive, skill, experience, and ambition in everything we do for our clients.
We are a Virtual First organization that values flexibility, collaboration, and innovation, while fostering an inclusive environment where diverse perspectives drive better outcomes. 


Why Join This Team 
Work on AI that fights AI-driven fraud  


Share