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# Machine Learning Engineer II

- **Company:** CLEAR - Corporate
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $180,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Fraud Prevention and Detection, Python (Programming Language), PostgreSQL, Machine Learning, Feature Engineering, Snowflake, Machine Learning Operations, Data Pipelines
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8679fc4a333470d9

## About the Role

* 3+ years of experience building, operating and scaling ML models for consumer applications, particularly those with experience building end-to-end systems
 * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
 * Expertise in best practices for feature engineering, model development/deployment and monitoring
 * Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
 * Collaborating and mentoring less experienced members of the team
 * Comfort with ambiguity
 * Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

## Description

* Python / Postgres / Snowflake / dbt
 * AWS SageMaker and MLflow

What you'll do:

 * Own and drive the foundational work of a ML system at CLEAR
 * Design, build and deploy ML models for various applications, such as document and image processing, fraud detection.
 * Develop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering
 * Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
 * Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR


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