2 days ago
Responsibilities
- Build and ship detection models and the systems around them.
- Evaluate model and system performance, document failure modes, and iterate as conditions change.
- Work with trust and fraud teams to translate evidence into decisions and usable workflows.
- Adapt detection systems as adversaries change their tactics.
- Own technical problems end to end, from analyzing evidence through delivering tools and product experiences.
Requirements
- Technical experience in at least one relevant area, including 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.
Benefits
- Primary location: New York, United States.
- Work arrangement was not specified.