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Machine Learning Engineer, Fraud & Abuse Detection at Telnyx - ApplyBlast

Machine Learning Engineer, Fraud & Abuse Detection

Telnyx

2 days ago

3.9 on Glassdoor

São Paulo, Brazil

Onsite

Full Time

Medior

0 applicants

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About this role

The Machine Learning Engineer, Fraud & Abuse Detection role involves building and operating real-time fraud and abuse detection systems for Telnyx's messaging platform. The position focuses on designing, training, and deploying text classifiers to identify phishing, smishing, brand impersonation, and other social-engineering scams. The engineer will work on a modern decision-engine architecture, ensuring models perform effectively under strict latency budgets while collaborating with cross-functional teams.

Responsibilities

Design and operate text classifiers for fraud and abuse detection
Build and maintain detection systems against adversarial content
Serve detection models inline with strict latency budgets

Skills

About Telnyx

telnyx.com

Headquarters

Austin, Texas, United States

Company Size

201-500 employees

Founded

2009

View Profile

Telnyx is a carrier-owned, full-stack communications and AI platform that provides Voice AI agents, programmable voice, SIP trunking, SMS/MMS, and AI inference services on a private Tier-1 global network spanning 40+ countries. Unlike platforms built on rented infrastructure, Telnyx owns its network, mobile core, and colocates GPUs at telecom edge PoPs to deliver low-latency, real-time conversational AI. It serves businesses across healthcare, finance, retail, travel, and more, offering developer APIs, compliance tools, and autonomous agent orchestration from a single vendor.