New York Member of Technical Staff →
plurallNew York (NY)
About the role
We hire tech geeks who can own a problem end to end: from the forensic signal, through the model, to the product a fraud analyst uses at 2am. Title and level follow the work, not the other way round.
Applicable fields of workComputer vision and image forensics
Speech and audio modelling
Video and temporal analysis
ML infrastructure, evaluation, and calibration
Fraud, identity, and trust-and-safety systems
Product engineering across the full stack
Duties and responsibilities:
Build and ship detection models and the systems around them
Measure what you build honestly, including where it fails
Work directly with trust and fraud teams to turn evidence into decisions
Hold the line against adversaries who adapt to what we ship
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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