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Member of Technical Staff

Role overview

Summary

This role focuses on addressing technical challenges related to fraud detection and safety. You will collaborate with trust and fraud teams to develop effective models and systems that adapt to evolving threats.

Qualifications

  • Technical experience in at least one relevant area: computer vision, 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.

Responsibilities

  • Own technical problems end to end, from analyzing forensic signals to building models and product systems.
  • Build and ship detection models and the systems around them.
  • Measure system performance honestly, identify failure modes, and iterate as conditions change.
  • Develop approaches that remain effective as adversaries adapt.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Collaboration

About the company

Clera Inc. logo

Clera Inc.

  • Job Boards & Talent Marketplaces
  • 11–50
Clera is an AI talent agent that represents job candidates and connects them directly with hiring managers at venture-backed startups. The platform uses artificial intelligence to match professionals with suitable career opportunities and facilitates introductions via email, iMessage, and WhatsApp, bypassing traditional job application processes.

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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.

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