Machine Learning Engineer, CLEAR

$180-220k

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

AWS

Python

Postgres

Snowflake

Sagemaker

dbt

Mid and Senior level

New York

5 days a week in office

Secure identity company making experiences safer & easier

Be an early applicant

Secure identity company making experiences safer & easier

1001+ employees

B2CSecuritySaaSIdentityScience

Be an early applicant

$180-220k

AWS

Python

Postgres

Snowflake

Sagemaker

dbt

Mid and Senior level

New York

5 days a week in office

1001+ employees

B2CSecuritySaaSIdentityScience

Company mission

To strengthen security and create frictionless experiences.

Job

Company

Role

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

Our take

Waiting in a security line is something everybody could do without before a long flight – and this unpleasant scenario is what CLEAR allows its millions of members to avoid. The company creates a single touchless ID based on a user’s biometrics, such as their eyes and face, enabling quick identity verification and frictionless travel.

CLEAR continues to develop its product, and is now moving beyond airports into office buildings, restaurants, and stadiums. The technology has already been used by several sports and entertainment partners, including multiple NBA teams and in the Super Bowl.

The company went public on the NYSE in June 2021 following a strategic funding round of $100M, which is being invested into accelerating the company's growth whilst expanding its offerings. Its technology is now being used for age verification, virtual queuing, and checking in.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

17% employee growth in 12 months

Glassdoor (3.1)

Trustpilot (1.1)

Company

Funding (last 2 of 3 rounds)

Feb 2021

$100m

LATE VC

Apr 2017

$15m

LATE VC

Total funding: $135m

Company HQ

Chelsea, New York, NY

Leadership

Caryn Seidman Becker

(Co-Founder, CEO & Chairman)

Prior to CLEAR, they created the Arience Foundation and The Happy Elephant Foundation which support charter schools, cancer research, child wellness, and the New York City community. They sit on the Board of Directors of Mt. Sinai Children's Center and the Young Women's Leadership Network.

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