Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will create machine learning-based classification algorithms detecting everything from network entities through process behaviors and attackers operating in networks and endpoints. In additional you will work on SaaS and cloud entities; from 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 Domains environments and in cloud and saas resources
- 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
- Research specific cases to enhance our model's capabilities
- 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
- At least 5 years of experience in cyber research
- In-depth knowledge of enterprise infrastructure - Active Directory, SSO, FW, VPN, Security products, etc.
- In-depth knowledge of authentication mechanisms
- In-depth Knowledge of network protocols, including but not limited to Kerberos, RPC, SMB, HTTP, SMTP, DNS, DHCP etc.
- Major advantage if you have experience in machine learning or data analysis
- Major advantage if you have experience in cloud infrastructure or saas security
- In-depth knowledge of the inner-workings of operating systems - advantage
- At least 2 years experience coding python
- Strong knowledge of SQL language
- 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.
