Security, Machine Learning
Summary
ThreatMark is hiring for security and machine learning engineering roles to protect end users from financial fraud. Engineers develop behavioral models, detect cyberthreats, and build low-latency systems using Python, TypeScript, Rust, AWS, and Terraform.
ThreatMark protects >60M end users from finacial fraud and saves > $1.2M every day in losses.
We are working with banks in EU and US to protect their end users.
We develop large-behavioral models that recognizes returning users by their mouse movements, keystroke timings and sensoric data (accelerometer, gyroscope).
We detect cyberthreats (e.g. malware, phishing, scraping) by exploiting browsers/sandboxes of devices.
We manage ~PB scale of data and provide realtime scoring in milliseconds driving authentication/authorization flow (2nd factor).
Stack: [python, typescript, rust], [redis, postgresql], [aws, terraform] ...
We are looking for exceptional engineers to build with us and be part of the success:
- Backend Engineer [rust, python] - low-latency stream processing engine, rewrite python microservices to rust, build new detection features
- DevOps Engineer (IaaC in AWS)
- DevSecOps Engineer
- AI Tech Lead (loops & graphs guru, real ML background)
- Security Researcher/Engineer
- Product Manager [USA]
- Fraud Detection Specialist
- Partner Manager
If you are interested, please email us @ [email protected] with subject "HN Who's Hiring"
If you don't find the right role here or at https://www.threatmark.com/careers/, write us anyway if you believe you can be good fit :)
Krystof Hilar, Co-Founder & CTO