Forward Deployed AI Engineer II

CLEAR - Corporate•New York, NY

22h•$180,000 - $230,000•Onsite

About The Position

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.

Requirements

4+ 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

Responsibilities

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