We're a venture backed, Series A startup developing a new method for physical access point authentication. Similar to FaceID on iPhone X, the technology unlocks spaces only when it identifies the person in front of it has access. To achieve this, we use facial detection and recognition, 3D sensing and artificial intelligence to enable highly secure and frictionless entry into physical locations.
A mid-level software engineer with machine learning background, and specifically deep learning. The ideal candidate would be self-motivated, needing little supervision and thriving working on hard, not strictly defined problems.
Apply by sending your resume to firstname.lastname@example.org