ML Threat Analyst, Eastern & Central (Remote)
CrowdStrike
This job is no longer accepting applications
See open jobs at CrowdStrike.See open jobs similar to "ML Threat Analyst, Eastern & Central (Remote)" GENAI.#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.
About the Role:
Our 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 pro-active aspects. This role will be perfect for anyone who is just starting or considering a career involving detections and reverse engineering. The primary responsibility of this role 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.
Bring your passion for helping internal partners resolve questions about detections of potentially malicious activity by machine learning and our detection capability. Our goal for the team is to both help internal teams respond to customer-inquiries about threat detection and to provide information about the effects of our detections into the Data Science organization - including detection efficacy and managing false positive detections.
This role will work most closely with internal teams such as Technical Account Managers, Falcon Complete, Data Scientists and the Malware Research Center in Data Science.
What You’ll Do:
Review current product detections to ensure they are performing to the company standard
Perform tasks to enable better-management of false positive detections
Analyze binary files to determine their legitimacy
Address internal questions and concerns regarding customer threat detections
Review Machine Learning predictions
What You’ll Need:
Exposure and understanding of different types and functionality of malware
General knowledge of reverse engineering malware, or malware operations
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
Experience with threat detections by Machine Learning
BA/BS or MA/MS degree or equivalent experience in Computer Science, Information Security, or a related field
Bonus Points:
Experience in a security operations center or similar environment responding to incidents
Good understanding of Windows OS internals and the Windows API
Knowledge of MacOS and/or Linux OS
Familiarity with tools used in targeted and criminal cyber-intrusions
A background in exploit and vulnerability analysis
Knowledge of programming and scripting languages including C, C++, Java, and assembly as well as GoLang, Python, Bash or PowerShell
If you have experience in using a post-exploitation framework (for example Metasploit)
Splunk, SIEM or Elastic knowledge
MITRE ATT&CK Framework knowledge
#LI-Remote
#LI-RC1
This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.Benefits of Working at CrowdStrike:
Remote-first culture
Market leader in compensation and equity awards
Competitive vacation and flexible working arrangements
Comprehensive and inclusive health benefits
Physical and mental wellness programs
Paid parental leave, including adoption
A variety of professional development and mentorship opportunities
Offices with stocked kitchens when you need to fuel innovation and collaboration
We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact [email protected], for further assistance.
CrowdStrike participates in the E-Verify program.
CrowdStrike, Inc. is committed to fair and equitable compensation practices. The base salary range for this position in the U.S. is $100,000 - $150,000 per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.This job is no longer accepting applications
See open jobs at CrowdStrike.See open jobs similar to "ML Threat Analyst, Eastern & Central (Remote)" GENAI.