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# Security Machine Learning Engineer/ Researcher

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Salary:** $150,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Cyber Security, Data Integration, Python (Programming Language), Machine Learning, Natural Language Processing, Azure Machine Learning, Deep Learning, Information Technology
- **Published:** November 3, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pthln2sq8b

## About the Role

* 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.

## Description

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., * 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.