Machine Learning Engineer II

About the Role

CLEAR is looking for an experienced Machine Learning Engineer to help build the next generation of products extending beyond ID to enable members to leverage networked digital identity. You will participate in the design, implementation, testing, and deployment of applications to enhance our platform, keeping member privacy and security at the core.

Tech Stack

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

Responsibilities

• 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, 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
• Maintain a strong sense of ownership, contributing to architectural decision-making and continuous improvement in technology and processes

Qualifications

• 3+ years of experience building, operating, and scaling ML models for consumer applications, particularly 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
• Ability to articulate technical concepts to a mixed audience of technical and non-technical stakeholders
• Experience collaborating and mentoring less experienced members of the team
• Comfort with ambiguity and autonomous problem-solving