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Member of Technical Staff

Role overview

Summary

This role focuses on building detection models and systems to address fraud, identity, and trust-and-safety challenges. You will work closely with fraud teams to analyze evidence and develop tools that facilitate informed decision-making.

Qualifications

  • 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.

Responsibilities

  • 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.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Trustworthiness

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

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.

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