CLEAR is building the secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. We are looking for an experienced Machine Learning Engineer to help us build the next generation of products that go beyond ID and enable our members to leverage the power of a networked digital identity. This is an on-site role based in New York, New York, United States. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform—one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. Tech stack highlights include 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 applications such as document and image processing and 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, innovate and solve complex problems; take ownership of architectural decisions and strive for continuous improvement in technology and processes at CLEAR. What you're great at: 3+ years of experience building, operating and scaling ML

CLEAR is building the secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. We are looking for an experienced Machine Learning Engineer to help us build the next generation of products that go beyond ID and enable our members to leverage the power of a networked digital identity. This is an on-site role based in New York, New York, United States. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform—one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. Tech stack highlights include 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 applications such as document and image processing and 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, innovate and solve complex problems; take ownership of architectural decisions and strive for continuous improvement in technology and processes at CLEAR. What you're great at: 3+ years of experience building, operating and scaling ML