ML Engineer II — Secure Identity Platform

CLEAR; New York (NY); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Meals & snacks

Well-being stipend

Healthcare plans

401(k) with employer match

Job summary

CLEAR is building the secure identity platform of the future. We are seeking an experienced Machine Learning Engineer to design, implement, and deploy ML applications that power our networked identity offerings, including document and image processing and fraud detection.

You will own ML system foundations, develop robust data pipelines, and collaborate with product and stakeholders to translate requirements into scalable solutions while keeping privacy and security at the core.

Qualifications

• 3+ years building, operating and scaling ML models for consumer applications.
• Experience creating and scaling data pipelines for ML models.
• Expertise in feature engineering, model development and monitoring.

Responsibilities

• Own and drive ML system foundations at CLEAR.
• Design, build and deploy ML models for document, image processing and fraud detection.
• Develop robust data pipelines for data collection, preprocessing, transformation and feature engineering.
• Collaborate with product and stakeholders to uncover requirements and solve problems.
• Own architectural decisions and drive continuous improvement.

Skills

ML systems

Data pipelines

Feature engineering

Model deployment

Stakeholder communication

Autonomy

Tools

AWS SageMaker

MLflow

PostgreSQL

Snowflake

dbt

Job description

CLEAR is building the secure identity platform of the future. We are seeking an experienced Machine Learning Engineer to design, implement, and deploy ML applications that power our networked identity offerings, including document and image processing and fraud detection.

You will own ML system foundations, develop robust data pipelines, and collaborate with product and stakeholders to translate requirements into scalable solutions while keeping privacy and security at the core.