We9re 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 you9ll 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 you9re 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 what9s important
How You9ll be Rewarded:At CLEAR we help YOU move forward - because when you9re at your best, we9re at our best. You9ll work with talented team members who are motivated by our mission of making experiences safer and easier. In our offices, you9ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs.
We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match.
The total compensation range for this role is $180,000 - $220,000, depending on levels of skills and experience.
This range represents the combined base salary, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements
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