Machine Learning Engineer II
Core
Design, build, and deploy ML models for document and image processing and fraud detection to enhance CLEAR's secure identity platform.
Role type
Machine Learning Engineer
Builds
Production ML models and data pipelines for identity verification and fraud detection
Domain
Identity management, security, and consumer applications
Deliverable
production ML models
Required skills
End-to-end ML system design, complex data pipeline scaling, feature engineering, model deployment and monitoring
Preferred skills
Mentoring team members, autonomous problem solving, articulating technical concepts to mixed audiences
Technologies
Python, Postgres, Snowflake, dbt, AWS SageMaker, MLflow
Responsibilities
Design and implement robust data pipelines for collection, pre-processing, transformation, and feature engineering; Partner with product stakeholders to uncover requirements and solve complex problems; Drive architectural decision-making for ML systems
Seniority
Mid-level, hands-on IC
