Machine Learning Engineer

Who you are

• 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

What the job involves

• We’re looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity
• 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
• A brief highlight of our tech stack:
• Python / Postgres / Snowflake / dbt
• AWS SageMaker and MLflow
• 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