Forward Deployed AI Engineer at CLEAR - Corporate

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

160000.0

Posted On

16 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TensorFlow, PyTorch, Machine Learning, AI Engineering, AWS, Large Language Models, Retrieval-Augmented Generation, Data Pipelines, Feature Engineering, Model Deployment, Model Governance, Responsible AI, Problem Solving, Technical Communication, ML Infrastructure

Industry

Consumer Services

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 38 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. In this role, you will design, build, and deploy AI-powered systems that enhance CLEAR’s products and member experiences at scale. This role will drive the development of intelligent, reliable, and secure solutions across the AI lifecycle—from data pipelines to model deployment—while embedding trust, privacy, and performance into everything we build. What you’ll do: Design, develop, and deploy machine learning and AI models that power core product experiences and internal tools Build and maintain scalable data pipelines and ML infrastructure to support training, evaluation, and production systems Partner with Product, Engineering, and Analytics to translate business needs into AI-driven solutions Optimize model performance through experimentation, monitoring, and continuous improvement Implement best practices for responsible AI, including privacy, security, and model governance How you’ll measure success: Performance and reliability of deployed models (e.g., accuracy, latency, uptime) Adoption and impact of AI-powered features on product and business outcomes Efficiency and scalability of ML pipelines and infrastructure Speed and quality of model iteration and deployment cycles What you’re great at: 1+ years of experience in machine learning, AI engineering, or related fields Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch) Experience building and deploying models in production environments, preferably in cloud platforms (e.g., AWS) Familiarity with modern AI approaches, including large language models (LLMs), retrieval-augmented generation (RAG), or similar techniques Understanding of data engineering concepts, including data pipelines, feature engineering, and data quality Ability to communicate complex technical concepts to both technical and non-technical stakeholders Strong problem-solving skills and ability to operate in fast-paced, ambiguous environments Passion for building high-impact, user-centric AI products 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 $110,000-$160,000 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. 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. 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. #LI-Onsite

Responsibilities

Design, build, and deploy AI-powered systems and scalable data pipelines to enhance CLEAR's products and member experiences. Partner with cross-functional teams to translate business needs into secure, reliable, and high-performance AI solutions.