Applied Scientist I

Position Overview

We are looking for an Applied Scientist I to design and train cutting‑edge machine learning solutions related to digital identities. The role focuses on deepfake detection, bias mitigation, document understanding, anomaly detection, and efficient on‑device ML.

What you will be doing

• Push the frontier of research in deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on‑device ML.
• Publish research results in national and international conferences and scientific journals.
• Collaborate with product and engineering teams to improve our world‑class identity‑focused products.

Representative work

• Implement bias‑mitigation strategies for fair face‑matching and deepfake‑detection models.
• Train and benchmark large‑scale vision‑language models for document extraction.
• Build a multi‑modal document‑understanding model fro...