Member of Technical Staff

Clera Labs, Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Clera Labs, Inc. is seeking an engineer to own technical problems end to end, from analyzing forensic signals to building models and product systems used by fraud analysts.

You will collaborate with trust and fraud teams to turn evidence into decisions and usable workflows, and you will develop approaches that stay effective as adversaries adapt. You will build and ship detection models, measure system performance, identify failure modes, and iterate as conditions change, ensuring robust,

Qualifications

• Experience owning technical problems end to end and shipping detection models, supporting systems, or product experiences.
• Experience evaluating model or system performance, identifying failure modes, and improving solutions in response to changing threats.
• Experience working with trust and fraud teams to translate evidence into decisions and product workflows.

Responsibilities

• Build and ship detection models and the systems around them.
• Measure system performance honestly, identify failure modes, and iterate as conditions change.
• Work directly with trust and fraud teams to turn evidence into decisions and usable workflows.
• Develop approaches that remain effective as adversaries adapt.

Job description

About the Role

Own technical problems end to end, from analyzing forensic signals to building models and product systems used by fraud analysts. This work supports fraud detection, identity, and trust-and-safety efforts against evolving adversarial threats.

What You'll Do

• Build and ship detection models and the systems around them.
• Measure system performance honestly, identify failure modes, and iterate as conditions change.
• Work directly with trust and fraud teams to turn evidence into decisions and usable workflows.
• Develop approaches that remain effective as adversaries adapt.

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 or trust and safety systems, or full-stack product engineering.
• Experience owning technical problems end to end and shipping detection models, supporting systems, or product experiences.
• Experience evaluating model or system performance, identifying failure modes, and improving solutions in response to changing threats.
• Experience working with trust and fraud teams to translate evidence into decisions and product workflows.

Location

Primary location: New York, United States. The work arrangement was not specified.