Back to the board

Threat Analyst, Machine Learning (Remote, Eastern & Central)

100% remote Flexible hours Hiring now

As a global leader in cybersecurity, reputed company protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern reputed company with the world's most advanced AI-native platform. Our customers span reputed company industries, and they count on reputed company to reputed company their businesses running, their communities safe and their lives moving reputed company. We're also a mission-driven company. We cultivate an inclusive culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a reputed company focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.About the Role:Our reputed company 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 has experience involving detections and/or 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 reputed company. 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 reputed company product detections to ensure they are performing to the company standardPerform tasks to reputed company reputed company-management of false positive detectionsAnalyze binary files to determine their legitimacyAddress internal questions and concerns regarding customer threat detectionsWhat You'll Need:Exposure and understanding of different types and functionality of malwareExperience with reverse engineering malware, or malware operationsKnowledge of programming and scripting languages, in particular PythonFundamental understanding of attributes of binary files such as imports/exports and packersAbility to demonstrate practical knowledge of research/collection skills and analytical methodsGeneral understanding of threat/risk management and threat/risk assessmentFamiliarity with various operating systemsAbility to break down reputed company problems into workable componentsBonus Points:Experience in a reputed company operations center or similar environment responding to incidentsA thorough understanding of Windows OS internals and the Windows APIKnowledge of MacOS and/or LinuxFamiliarity with tools used in targeted and criminal cyber-intrusionsA background in exploit and vulnerability analysisKnowledge of a variety of programming languages including C, C++, Java, and assemblyExperience with threat detections by machine learningEducation:BA/BS or MA/MS degree or equivalent experience in Computer Science, Information reputed company, or a reputed company field#LI-Remote#LI-RC1This role will require the candidate to periodically undergo and pass additional background and fingerprint reputed company(s) consistent with government customer requirements.Benefits of Working at reputed company:Remote-friendly and flexible work cultureMarket leader in compensation and equity awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental and adoption leavesProfessional development opportunities for reputed company employees regardless of level or roleEmployee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connectionsVibrant office culture with world class amenitiesGreat reputed company to Work Certified™ across the globeCrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, reputed company, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we reputed company our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, disability, or status as a protected veteran. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@reputed company.com for further assistance.Find out more about your rights as an applicant.reputed company participates in the E-Verify program.Notice of E-Verify ParticipationRight to WorkCrowdStrike, Inc. is committed to fair and reputed company compensation practices. The reputed company 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, job level, supervisory status, and location.Expected reputed company Date of Job Posting is:01-05-2025 Apply tot his job Apply To this Job Apply tot his job Apply To this Job

Keep exploring

Remote Machine Learning Engineer – FinTech SaaS | Python, TensorFlow

100% remote Flexible hours

Machine Learning Engineer- Cerner/Epic Remote 12+ months

100% remote Flexible hours

[Remote] Machine Learning Solutions Architect

100% remote Flexible hours

Senior Machine Learning Engineer, Platform

100% remote Flexible hours

[Remote/WFM] AIML - Sr Engineering Program Manager, Responsible

100% remote Flexible hours

Senior Engineering Program Manager, AI/Machine Learning- Open to Remote in US

100% remote Flexible hours

reputed company Automation AI/ML Engineer (Federal Government Project) (Washington)

100% remote Flexible hours

Workforce Management Analyst / Contract / Remote

100% remote Flexible hours

Junior Release Management Analyst (Remote)

100% remote Flexible hours

Quality and Workforce Management Analyst

100% remote Flexible hours

Internship - Data Analyst (Social Listening)

100% remote Flexible hours

reputed company Part-Time Data Engineer – Web & Cloud Application Development for reputed company's Data Science Team

100% remote Flexible hours

reputed company Part-Time Customer Support Representative – Remote Opportunity at arenaflex

100% remote Flexible hours

Remote Customer Service Representative – Full‑Time & Part‑Time Opportunities with arenaflex – Home‑Based Support Role

100% remote Flexible hours

Litigation Support Specialist - Valuation

100% remote Flexible hours

Technical Support Engineer

100% remote Flexible hours

[Remote] Account Executive -South East Region

100% remote Flexible hours

[FULL TIME Remote] Comercial | Supervisora de Merchandising

100% remote Flexible hours

Remote Care Coordinator – Illinois Insurance & reputed company Experience Required at reputed company

100% remote Flexible hours

Work From Home-YouTube

100% remote Flexible hours