Detection Engineer - Machine Learning (Remote, East/Central)
About The Position
At CrowdStrike, we are on a mission to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering, combined with our innovations in machine learning and behavioral-based detection, allow our customers to defend themselves in a future-proof manner. We have earned numerous honors and top rankings for our technology, organization, and people, confirming our industry leadership and the special culture that drives it. The CrowdStrike Data Science Machine Learning Operations and Response Team is looking for a Threat Analyst who is both customer- and team-focused. This role will include both response and proactive aspects and is perfect for anyone with experience involving detections and/or reverse engineering. The primary responsibility will be to analyze malware and detections by investigating individual customer detection tickets. This team is focused on improving detection capability and efficiency through analysis of malware or other threat detections impacting our customer base. Experience with detections of potentially malicious behavior by machine learning models is a plus. This role will work closely with internal teams such as Technical Account Managers, Falcon Complete, Data Scientists, and the Malware Research Center in Data Science. The goal for the team is to help internal teams respond to customer inquiries about threat detection and to provide information about the effects of our detections to the Data Science organization, including detection efficacy and managing false positive detections.
Requirements
- Exposure and understanding of different types and functionality of malware
- Experience with reverse engineering malware, or malware operations
- Knowledge of programming and scripting languages, in particular Python
- Fundamental understanding of attributes of binary files such as imports/exports and packers
- Ability to demonstrate practical knowledge of research/collection skills and analytical methods
- General understanding of threat/risk management and threat/risk assessment
- Familiarity with various operating systems
- Ability to break down complex problems into workable components
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Nice To Haves
- Experience in a security operations center or similar environment responding to incidents
- A thorough understanding of Windows OS internals and the Windows API
- Knowledge of MacOS and/or Linux
- Familiarity with tools used in targeted and criminal cyber-intrusions
- A background in exploit and vulnerability analysis
- Knowledge of a variety of programming languages including C, C++, Java, and assembly
- Experience with threat detections by machine learning
Responsibilities
- Analyze detection data including customer reports to determine which aspects of the machine learning models can be improved
- Perform tasks to enable better management of false positive detections
- Analyze binary files to determine their legitimacy
- Review current product detections to ensure they are performing to the company standard
- Address internal questions and concerns regarding customer threat detections
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
- health insurance
- 401k
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
