Research Staff, LLMs
Deepgram
USA | Remote, Ann Arbor, MI · 76d ago
Clera · posted yesterdayFresh: apply early
Open to candidates in United States
Full-time · Mid-level
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About the Role
Own technical problems end to end, from analyzing forensic signals to building models and product systems used by fraud analysts. This work supports fraud detection, identity, and trust-and-safety efforts against evolving adversarial threats.
What You'll Do
Build and ship detection models and the systems around them.
Measure system performance honestly, identify failure modes, and iterate as conditions change.
Work directly with trust and fraud teams to turn evidence into decisions and usable workflows.
Develop approaches that remain effective as adversaries adapt.
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 or trust and safety systems, or full-stack product engineering.
Experience owning technical problems end to end and shipping detection models, supporting systems, or product experiences.
Experience evaluating model or system performance, identifying failure modes, and improving solutions in response to changing threats.
Experience working with trust and fraud teams to translate evidence into decisions and product workflows.
Location
Primary location: New York, United States. The work arrangement was not specified.
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