Role OverviewYou will be building threat and anomaly detections from the ground up on a next-gen security platform. You will develop and productize the detection models leveraging data at a massive scale. This will be a key leadership role in shaping the future of threat detection in the cybersecurity space.
Required Experience- Proven track record of building and deploying threat detection systems at large scale
- Strong understanding of attacker TTPs and malware behavior
- Expert threat hunting and modeling capabilities
- Experience with reverse engineering malware through both static and dynamic analysis
- Experience developing, training, and deploying ML models with high detection accuracy and low FP rates
- Strong proficiency in Python programming
- Strong understanding of database technologies for batch and streaming analytics
- Strong communication and documentation skills
- Master's or PhD degree in a related cybersecurity or data science field preferred
- Published research papers and other thought leadership is a nice-to-have
We offer competitive compensation and a comprehensive benefits package designed to support our employees' health, well-being, and long-term success. The expected salary range for this position is $150,000 - $250,000 per year. Within this range, individual pay is determined based on job-related factors including skills, experience, qualifications, and internal equity. Most candidates can expect an offer within the range listed above. Your recruiter will provide additional details on compensation and benefits to qualified candidates during the hiring process.
