Salary
Not listed
Posted
41m ago
Work setup
Fully Remote
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.
Before you apply
- Confirm async-friendly culture vs daily standup-heavy expectations
- Ask about on-call rotation and incident expectations
- Check the tech stack matches what you actually want to use day-to-day
Interested in this role?
Apply on the original posting. No account required.
Listing via Himalayas
Member of Technical Staff
Clera