Today, CLEAR is well-known as a leader in digital & biometric identification, reducing friction for our members wherever an ID check is needed.
Were looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID & enable our members to leverage the power of a networked digital identity.
As a Senior Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, & deployment of applications to build & enhance our platform - one that interconnects dozens of attributes & qualifications while keeping member privacy & security at the core.
A brief highlight of our tech stack :
- Python / Postgres / Snowflake / dbt
- AWS cloud
What you'll do :
- Own & drive the foundational work of a ML system at CLEAR
- Design, build & deploy ML models for various applications, such as document & image processing, fraud detection.
- Develop & implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, & feature engineering
- Partner with product & other stakeholders to uncover requirements, to innovate, & to solve complex problems
- Have a strong sense of ownership, responsible for architectural decision-making & striving for continuous improvement in technology & processes at CLEAR
What you're great at :
- 3+ years of experience building, operating & scaling ML models for consumer applications, particularly those with experience building end-to-end systems
- Experience designing, implementing, & scaling complex data pipelines for ML models & evaluating their performance
- Expertise in best practices for feature engineering, model development / deployment & monitoring
- Articulating technical concepts to a mixed audience of technical & non-technical stakeholders
- Collaborating & mentoring less experienced members of the team
- Comfort with ambiguity
- Curiosity about technology, believe in constant learning, & ability to be autonomous to figure out what's important
How You'll be Rewarded :
At CLEAR we help YOU move forward - because when youre at your best, were at our best. Youll work with talented team members who are motivated by our mission of making experiences safer & easier.
Our hybrid work environment provides flexibility. In our offices, youll enjoy benefits like meals & snacks. We invest in your well-being & learning & development with our stipend & reimbursement programs.
We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility & adoption / surrogacy support), flexible time off, free OneMedical memberships for you & your dependents, & a 401(k) retirement plan with employer match.
The base salary range for this role is $150,000 - $180,000, depending on levels of skills & experience.
The base salary range represents the low & high end of CLEARs salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience & performance.
The range listed is just one component of CLEARs total compensation package for employees & other rewards may include annual bonuses, commission, Restricted Stock Units
About CLEAR
Have you ever had that green-light feeling? When you hit every green light & the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling.
With nearly 19 million passionate members & hundreds of partners around the world, CLEARs identity platform is transforming the way people live, work, & travel.
Whether its at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, & more seamless experiences - making them all feel like magic.
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.
LI-Hybrid #LI-Onsite
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