Staff ML Engineer: Identity Verification & Fraud Detection

Coinbase; San Francisco (CA); On-site; USD 218,025 - 256,500; Full time

Job summary

Coinbase is searching for a Staff Machine Learning Engineer to lead the Identity Verification team. This role encompasses ownership of ML systems that validate identities, focusing on techniques like document verification and biometric analysis.

The candidate will drive ML strategy, mentor engineers, and collaborate with teams across Coinbase. The position demands extensive experience in deploying ML systems, particularly in identity verification.

The annual salary range is $218,025 to $256,500, with additional compensation and benefits.

Qualifications

• 8+ years deploying production ML systems at scale.
• Domain experience in identity verification or account integrity.
• Expert-level Python with production experience in ML frameworks.

Responsibilities

• Own the full IDV ML stack for identity verification.
• Build identity-graph systems to detect synthetic identities.
• Develop behavioral models for session anomaly detection.

Skills

Machine Learning

Python

TensorFlow

PyTorch

Computer Vision

NLP

Job description

Coinbase is searching for a Staff Machine Learning Engineer to lead the Identity Verification team. This role encompasses ownership of ML systems that validate identities, focusing on techniques like document verification and biometric analysis.

The candidate will drive ML strategy, mentor engineers, and collaborate with teams across Coinbase. The position demands extensive experience in deploying ML systems, particularly in identity verification.

The annual salary range is $218,025 to $256,500, with additional compensation and benefits.