Security, Machine Learning
Build low-latency stream processing engine
Develop large-behavioral models to detect cyberthreats and manage petabyte-scale data. Deliver real-time scoring for authentication/authorization flow.
Why This Role?
Work with top banks in EU and US to protect end users
Required Skills
Keywords
View Original Description from HN Who is Hiring
Original description from HN Who is Hiring
ThreatMark | Security, Machine Learning | REMOTE(World) / Brno, Czech Republic | Equity ThreatMark protects >50M end users from finacial fraud and saves > $100M every year in losses. We are working with top 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) If you are interested, please email us @ career@threatmark.com 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