Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will create statistics-based classification algorithms detecting everything from network entities through process behaviors and attackers operating in enterprise-scale networks using data from multiple network and endpoint sources; from analyzing attack patterns, finding statistical anomalies, choosing the right features, training the right model and validating that you detect the right concept on real customer data with real APTs.
Your Impact
- Research new methods to detect targeted attackers operating in networks and endpoints by utilizing enormous amounts and varied types of data
- Simulate attacks in the lab and conduct a deep analysis of the behavior
- Use and develop machine learning algorithms and techniques to create and improve our models
- Be part of a diverse research group, improving our research processes and leading us to be a better team creating a better product
- Stay up to date with APTs, attacker methodologies, and TTPs
Your Experience
- In-depth Knowledge of network protocols, including but not limited to HTTP/S, SMB, RPC, DNS, DHCP, Kerberos, SMTP etc
- Intimate knowledge and understanding of attack methods and techniques over complex enterprise networks
- Python software development experience
- Experience working with large datasets
- Ability to drive and own projects
- Independent and team player, critical thinker
- Advantage if you have exploitation knowledge and experience
- Advantage if you have experience in machine learning or data analysis
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
All your information will be kept confidential according to EEO guidelines.
