xAI is building a new payments platform for X (600 million+ monthly users) and needs to protect users and the platform from fraud, abuse, and risk.
Requirements
- 7+ years of backend or systems engineering, with exposure to fraud, risk, or abuse prevention systems preferred
- Skilled in distributed systems: You’ve built resilient, high-throughput systems that operate under real-time constraints
- Security-conscious: You understand threat models, data sensitivity, and defense-in-depth principles
- Analytical and pragmatic: You value simple, high-leverage solutions and adapt quickly to evolving challenges
- Builder mentality: You’re excited by zero-to-one problems and proven ability to thrive in fast-paced environments.
- Experience with real-time anomaly detection, machine learning for fraud, or rule-based risk systems
- Familiarity with AML/KYC regulations, chargeback flows, or identity verification systems
Responsibilities
- Design and implement fraud detection and prevention systems that operate at global scale and low latency
- Develop risk scoring engines, anomaly detection pipelines, and real-time enforcement mechanisms
- Collaborate with product, compliance, trust & safety, and infrastructure teams to ensure a secure and seamless user experience
- Monitor and analyze fraud trends, and proactively respond to new attack vectors
- Define engineering standards around observability, reliability, and rapid response in fraud-related systems
Other
- All employees are expected to be hands-on and to contribute directly to the company’s mission.
- Leadership is given to those who show initiative and consistently deliver excellence.
- Work ethic and strong prioritization skills are important.
- All engineers are expected to have strong communication skills.
- Candidates are expected to be located near the Bay Area or open to relocation.
