Strong fit for candidates with end-to-end technical ownership experience who work in fraud detection or trust-and-safety domains and are based in New York.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Clera via Ashby
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.
Source: Clera careers (Ashby)