---
title: 'Machine Learning Engineer II at CLEAR - Corporate'
canonical: 'https://feeny.ai/job/machine-learning-engineer-ii-clear-corporate-new-york-25776ced8w5p'
type: 'job'
last_seen: '2026-10-16'
---

# Machine Learning Engineer II at CLEAR - Corporate

- **Company:** CLEAR - Corporate
- **Location:** New York, NY
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-10-16
- **Apply:** https://job-boards.greenhouse.io/clear/jobs/8070543

## Job description

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.

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

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.

#LI-Onsite

## About CLEAR - Corporate

## Company Overview
- **One-liner**: CLEAR is a secure identity platform that uses biometrics to create frictionless experiences for travelers, sports fans, and consumers, allowing them to move quickly through security, venues, and digital check-ins.
- **Entity Type**: Public (NYSE: YOU)
- **Headquarters**: New York, New York, United States
- **Founded**: 2010 (acquired out of bankruptcy by Caryn Seidman Becker)
- **Founders**: Caryn Seidman Becker (Chair, CEO, and Founder)

## Core Business
- **Primary industry/industries**: Identity Verification, Consumer Services, Travel Technology, Healthcare Identity
- **Target customers**: B2B (airports, stadiums, arenas, healthcare providers, government agencies) and B2C (travelers, event-goers, general consumers)
- **Mission or purpose statement**: "To make life safer and easier by using our secure identity platform to power friction-free experiences."

## Products & Services
- **CLEAR Plus (Airport Security)**: A membership program that allows travelers to use dedicated biometric lanes at TSA checkpoints to skip long lines. Available at 70+ airports nationwide.
- **CLEAR Health Pass**: A digital health verification tool that allows users to securely link their medical records (vaccination status, test results) for entry into venues, events, and workplaces.
- **CLEAR for Arenas & Stadiums**: Expedited entry into major sports and entertainment venues using biometric identity verification.
- **CLEAR1 (B2B Platform)**: An enterprise identity platform that helps businesses transform customer experiences, increase trust, and streamline operations across industries including healthcare, government, and travel.

## Market Standing
- **Valuation/Market Cap**: Not publicly available in search results (public company; market cap fluctuates).
- **Key Metric**: Annual revenue of **$900.8 million** (latest available data).
- **Notable Investors/Partners**: Partners with major airlines (Delta, United, American), TSA, and hundreds of sports and entertainment venues. The company has raised prior funding rounds before going public.
- **Growth Signals**: 
  - Headcount of 1,273 employees (+15.1% YoY, +381 people).
  - 41+ million verified users nationwide.
  - 62 airport locations and hundreds of partners.
  - Expanding into healthcare and government sectors (B2B CLEAR1 platform).

## Competitive Advantages
- **First-Mover & Scale**: The dominant biometric identity platform for airport security in the U.S., with a massive installed base at 70+ airports and hundreds of venues.
- **Network Effects**: As more users enroll, the value of the platform increases for partners (airports, venues, healthcare systems) who want to offer frictionless experiences.
- **Trust & Security**: A mission-critical focus on safety, security, and customer data protection, which is a key differentiator in the sensitive identity verification space.
- **Brand Recognition**: "CLEAR" is a household name for travelers, with high consumer trust and awareness.

## Strategic Focus
- **Expansion into Healthcare & Government**: The company is actively building out its B2B CLEAR1 platform to serve healthcare systems and government agencies, leveraging its identity verification infrastructure.
- **Product Innovation**: Continued investment in new products like Health Pass and enterprise identity solutions to diversify beyond airport security.
- **Deepening Partnerships**: Growing partnerships with airlines, venues, and new verticals to expand the CLEAR network.
- **Customer Experience Obsession**: A stated commitment to "surprise and delight" customers, with a culture that values relentless problem-solving and bias for action.

## Why Work Here
- **Culture & Values**: CLEAR describes itself as a team of "indefatigable problem-solvers" who are "gritty, relentless, and scrappy." Core values include: "Own It," "Speak Up," "Embrace Change," "Bias for Action," and "Obsessed with the Customer Experience."
- **Growth & Impact**: Employees work on high-impact products used by millions of people daily, with opportunities to move across engineering, product, marketing, and business development.
- **Work Style**: Hybrid/office roles primarily based in New York, NY, with some roles in Austin, TX, San Francisco, CA, and Washington, DC.
- **Engineering Culture**: Strong emphasis on data-driven decision making, building secure and scalable systems, and shipping quickly. The engineering team is growing significantly (multiple senior and staff-level roles open across backend, fullstack, mobile, infrastructure, and AI).
- **Perks & Development**: The company invests in learning and development (dedicated L&D roles), encourages internal mobility, and has a "great people" focus—"we constantly seek out talent that is smarter than we are."
- **Mission-Driven**: Employees are motivated by the mission to make daily life safer and easier, working on a platform that directly impacts how people travel, attend events, and access services.

## Sources
1. [clearme.com - Careers](https://www.clearme.com/careers)
2. [clearme.com - Who We Are](https://www.clearme.com/who-we-are)
3. [Greenhouse - Jobs at CLEAR](https://job-boards.greenhouse.io/clear)
4. [LinkedIn - CLEAR](https://www.linkedin.com/company/clear-by-alclear-llc)

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