Machine Learning Engineer
Posted 27 Jul 2026
Advertised as “Machine Learning Engineer II”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- II
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
No salary listed for this role.
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 43 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. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.
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
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
What you're great at:
- 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
How You'll be Rewarded:
At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs.