Threat Analyst, Machine Learning Operations & Detection Efficacy (Remote)

As a global leader in cybersecurity, CrowdStrike 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 security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless 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 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 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 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: 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 What You’ll Need: 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. Bonus Points: 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. Benefits of Working at CrowdStrike: 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 CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy‑related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay‑offs, return from lay‑off, terminations and social/recreational programs--on valid job requirements. 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 View email address on click.appcast.io for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E‑Verify program. Notice of E‑Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:10-31-2026 CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world’s leading businesses into the headlines could not be solved with existing malware‑based defenses. Founder George Kurtz realized that a brand new approach was needed — one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware. There’s much more to the story of how Falcon has redefined endpoint protection but there’s only one thing to remember about CrowdStrike: We stop breaches. #J-18808-Ljbffr