Software Engineer, Machine Learning at Secure Identity
New York, NY 10001
About the Job
Today, CLEAR is well-known as a leader in digital and biometric identification, reducing friction for our members wherever an ID check is needed
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 Senior 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 / dbtAWS cloud What you'll do:Own and drive the foundational work of a ML system at CLEARDesign, 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 engineeringPartner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problemsHave a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEARWhat 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 systemsExperience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performanceExpertise in best practices for feature engineering, model development/deployment and monitoringArticulating technical concepts to a mixed audience of technical and non-technical stakeholdersCollaborating and mentoring less experienced members of the teamComfort with ambiguity Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's importantHow 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. Our hybrid work environment provides flexibility
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 base salary range for this role is $150,000 - $180,000, depending on levels of skills and experience.The base salary range represents the low and high end of CLEAR’s salary range for this position
Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance
The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock UnitsAbout CLEARHave you ever had that green-light feeling? When you hit every green light and the day just feels like magic
CLEAR's mission is to create frictionless experiences where every day has that feeling
With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel
Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and 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
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 Senior 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 / dbtAWS cloud What you'll do:Own and drive the foundational work of a ML system at CLEARDesign, 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 engineeringPartner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problemsHave a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEARWhat 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 systemsExperience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performanceExpertise in best practices for feature engineering, model development/deployment and monitoringArticulating technical concepts to a mixed audience of technical and non-technical stakeholdersCollaborating and mentoring less experienced members of the teamComfort with ambiguity Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's importantHow 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. Our hybrid work environment provides flexibility
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 base salary range for this role is $150,000 - $180,000, depending on levels of skills and experience.The base salary range represents the low and high end of CLEAR’s salary range for this position
Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance
The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock UnitsAbout CLEARHave you ever had that green-light feeling? When you hit every green light and the day just feels like magic
CLEAR's mission is to create frictionless experiences where every day has that feeling
With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel
Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and 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
