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.
As a founding member of our Machine Learning team, you’ll be working directly with the CTO to develop deep learning algorithms that operate on the edge device for facial authentication. You'll be involved in the full machine learning cycle, from collecting and preprocessing data, to choosing and implementing training models, to seeing how your models perform in production and making them better!
Apply by sending your resume to firstname.lastname@example.org