This is a Fully Remote Job About Our Client: This organization operates in the cybersecurity industry, addressing the challenge of protecting enterprises and government agencies from advanced cyber threats. Their platform is trusted by more than 30% of the world's top Managed Security Service Providers and is recognized for utilizing AI and automation technologies to enhance security measures globally. About the Opportunity: The SECURITY MACHINE LEARNING ENGINEER/RESEARCHER will focus on enhancing the organization's Open XDR platform by researching, designing, and developing data schemas, normalization processes, and threat detection methods. This role significantly contributes to improving integration and security capabilities, enabling the platform to better detect, correlate, and investigate security threats. Responsibilities: Collaborate with the data integration team to design data schema and normalization for third-party security data. Translate security detection requirements into data science or machine learning problems and propose solutions. Research and develop efficient machine learning algorithms tailored to security insights and data. Implement product features supporting security detection, correlation, and investigation. Develop processes, tools, and metrics to monitor and evaluate detection effectiveness for customers. Requirements: Master’s or Ph.D. in Computer Science or related field, specializing in machine learning, deep learning, natural language processing, or artificial intelligence. Proven experience as a Machine Learning Engineer or Research Scientist, with expertise in time series analysis, graph machine learning, or NLP. Proficiency with machine learning tools and frameworks. Strong understanding of machine learning algorithms, statistical models, and deep neural networks. Ability to translate research into practical solutions and implement proof of concepts in Python. Excellent written and verbal communication skills for diverse audiences. Preferred experience or knowledge in cybersecurity, security products, and open-source data models like Elastic Common Schema or Open Cybersecurity Schema Framework. Pay Range and Compensation Package: Base compensation range is USD 150,000 to 215,000 per year. Total compensation includes bonus opportunities and equity, varying by candidate location. Benefits & Perks: Pre-IPO stock options Medical, dental, and vision care 401(k) retirement plan Employee assistance and discount programs Life insurance Paid time off Referral, rewards, and recognition programs Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.