Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will create statistics-based classification algorithms detecting everything from new malware through process behavior and attackers operating in enterprise-scale networks using data from multiple Windows endpoints; from analyzing attack patterns, finding statistical anomalies, and validating that you detect real attacks and APTs on real customer data.
Your Impact
- Research new methods to detect targeted attackers by utilizing enormous amounts and varied types of data
- Use and develop statistical algorithms and techniques to create and improve our analytics detection capabilities
- Simulate attacks in the lab and conduct a deep analysis of the behavior
- Help design new generic AI heuristics to automate response over a combination of alerts and raw data, leveraging graph algorithms to mimic cybersecurity investigations
- 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 the inner-workings of operating systems (Especially Windows)
- Intimate knowledge and understanding of attack methods and techniques over endpoints and enterprise
- Vast experience and interest in malware research or development
- Python software development experience
- Comfortable conducting research and gathering insights by querying large databases
- Advantage if you have experience in machine learning or data analysis
- Advantage if you have reverse engineering knowledge and experience
- Advantage if you have advanced knowledge of Microsoft AD infrastructure
- Advantage if you have exploitation knowledge and experience
- Ability to drive and own projects
- Independent and team player, critical thinker
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.
