Security Machine Learning Engineer/ Researcher

TalentHop; United States; Remote; USD 150,000 - 215,000; Full time

Benefits offered by this job

Pre-IPO stock options

Medical, dental, and vision care

401(k) retirement plan

Employee assistance and discount

Life insurance

Paid time off

Referral, rewards, and recognition

Job summary

Talenthop is seeking a SECURITY MACHINE LEARNING ENGINEER/RESEARCHER to enhance the Open XDR platform by designing data schemas, normalization, and threat detection methods. You will help detect, correlate, and investigate security threats with ML-driven insights.

The role requires a strong background in ML/NLP/graph methods, experience translating security requirements into deployable solutions in Python, and clear communication across diverse teams.

Qualifications

• Master’s/Ph.D. in CS or related field with ML focus.
• Experience as ML Engineer or Research Scientist.
• Proficiency in Python and ML frameworks.
• Experience with time series, graph ML or NLP.
• Strong communication skills for diverse audiences.

Responsibilities

• Design data schema and normalization for third-party security data.
• Translate security detection requirements into ML problems and solutions.
• Research and develop ML algorithms for security insights.
• Implement product features for detection, correlation, and investigation.

Skills

Machine Learning

Time Series Analysis

Graph Machine Learning

NLP

Python

Security Domain Knowledge

Education

Master’s or Ph.D. in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Elastic Common Schema

Job description

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.