Security Machine Learning Engineer/ Researcher

Stellar Cyber; Oregon; Hybrid; USD 150,000 - 215,000; Full time

Benefits offered by this job

Pre-IPO Stock Options

Medical, Dental & Vision care

401(k)

Employee Assistance Program

Employee Discount Program

Life Insurance

Paid time off

Referral Program

Rewards and Recognition Program

Job summary

Stellar Cyber is seeking a highly skilled Machine Learning Engineer/Researcher to join its cybersecurity team in Oregon. You will design data schemas, develop threat detections, and translate security requirements into ML solutions for the Open XDR platform.

Ideal candidates hold an advanced degree in CS with ML focus and have hands-on experience in time series analysis, NLP, and production-ready Python. Join a fast-growing team shaping next-gen security analytics.

Qualifications

• Master's or Ph.D. in CS with ML/NLP/AI focus.
• Proven experience as ML Engineer/Researcher, with time series, graph ML, NLP.
• Experience with ML tools and frameworks.
• Strong understanding of ML algorithms and deep neural networks.
• Strong problem solving and ability to translate research into practical solutions.
• Strong engineering mindset with quick design and production-ready Python solutions.
• Excellent written and verbal communication skills.
• Preferred: cybersecurity knowledge and OSS data models (e.g., ECS/OCSF).

Responsibilities

• Review and design data schema and normalization for third-party security data integration.
• Translate detection use cases into ML problems and propose solutions.
• Research and design ML algorithms for security detection, correlation, and investigation.
• Design and implement product features for security detection, correlation, and investigation.
• Create processes, tools, metrics to monitor and evaluate detections released to customers.

Skills

Python

ML algorithms

Problem solving

Communication

Production-ready

Education

Master's degree in Computer Science

Tools

TensorFlow

PyTorch

Job description

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world's largest enterprises and government agencies, more than 30% of the world's top MSSPs rely on our platform. We're at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market.

To accelerate our growth, we are seeking a highly skilled and experienced Machine Learning Engineer / Researcher to join our cybersecurity team. As a Machine Learning Engineer / Researcher, you will be responsible for researching, designing, and developing data schema and normalization, and threat detections to enhance integration and security capabilities of Stellar Cyber's Open XDR platform. If you are excited to be part of a very fast-growing team with lots of opportunities, Stellar Cyber is a great place to grow your career.

Responsibilities

• Work with the data integration team to review and design data schema and normalization for integration of third‑party security data.
• Work with the security team to transform detection use cases and requirements to data science or machine learning problems, and propose solutions based on integrated data.
• Research and design efficient machine learning algorithms based on security insights and data characteristics for security detection, correlation, and investigation.
• Design and implement product features for security detection, correlation, and investigation.
• Create necessary processes, tools, metrics to monitor and evaluate the efficacy of detections released to Stellar Cyber's customers.

Requirements

• A master's or Ph.D. degree in Computer Science or a related field, with a focus on machine learning, deep learning, natural language processing, and/or artificial intelligence in general.
• Proven experience working as a Machine Learning Engineer, Research Scientist, or a similar role, with a specific focus related to time series analysis, graph machine learning, natural language processing, and other relevant machine learning areas in general.
• Experience with tools and frameworks for building machine learning applications.
• Strong understanding of machine learning algorithms, statistical models, deep neural networks.
• Strong problem solving skills, especially the ability to translate research findings into practical solutions.
• Strong engineering mindset and skills, including the ability of quick design and implementation of proof of concepts in Python, and the ability of designing and implementing production‑ready solutions.
• Excellent communication skills, both written and verbal, with the ability to present complex ideas to both technical and non‑technical stakeholders.
• (Preferred) Prior knowledge and/or experience in cybersecurity, such as detection and response, threat hunting, and etc.
• (Preferred) Prior knowledge and/or experience in security products and their data.
• (Preferred) Prior knowledge and/or experience in open‑source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework.

Benefits

We pride ourselves in recognizing our employees. Here are some examples of our benefits program:

• Pre-IPO Stock Options
• Medical, Dental & Vision care
• 401(k)
• Employee Assistance Program
• Employee Discount Program
• Life Insurance
• Paid time off
• Referral Program
• Rewards and Recognition Program

The base compensation range for this role is USD 150,000-215,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.