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Technology

Member of Technical Staff

Clera

AshbyRemote
WhatsApp
Location
New York, United States
Type
FullTime
Salary
Salary not specified
Posted
13 Nov 2026
ABOUT THE ROLE Join a team building detection models and products for fraud, identity, and trust-and-safety challenges. You will own technical problems end to end, from analyzing evidence to delivering tools that help fraud teams make informed decisions. WHAT YOU'LL DO - Build and ship detection models and the systems around them. - Evaluate model and system performance honestly, including documenting failure modes. - Work with trust and fraud teams to turn evidence into decisions and usable workflows. - Adapt systems as adversaries change their tactics. WHAT WE'RE LOOKING FOR - Technical experience in at least one relevant area: computer vision or image forensics, speech or audio modeling, video or temporal analysis, ML infrastructure, evaluation or calibration, fraud, identity, trust and safety, or full-stack product engineering. - Experience owning a technical problem end to end and building and shipping detection models, supporting systems, or product experiences. - Ability to measure performance, identify failure modes, and iterate as conditions change. - Experience working with trust and fraud teams to translate evidence into decisions and product workflows. LOCATION Work arr
ABOUT THE ROLE Join a team building detection models and products for fraud, identity, and trust-and-safety challenges. You will own technical problems end to end, from analyzing evidence to delivering tools that help fraud teams make informed decisions. WHAT YOU'LL DO - Build and ship detection models and the systems around them. - Evaluate model and system performance honestly, including documenting failure modes. - Work with trust and fraud teams to turn evidence into decisions and usable workflows. - Adapt systems as adversaries change their tactics. WHAT WE'RE LOOKING FOR - Technical experience in at least one relevant area: computer vision or image forensics, speech or audio modeling, video or temporal analysis, ML infrastructure, evaluation or calibration, fraud, identity, trust and safety, or full-stack product engineering. - Experience owning a technical problem end to end and building and shipping detection models, supporting systems, or product experiences. - Ability to measure performance, identify failure modes, and iterate as conditions change. - Experience working with trust and fraud teams to translate evidence into decisions and product workflows. LOCATION Work arrangement was not specified. Primary location: New York, United States.