Security Machine Learning Engineer – Researcher

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with the data integration team to evaluate and design data schema and normalization methods for the integration of third-party security data.

• Partner with the security team to convert detection use cases and requirements into data science or machine learning challenges, and recommend solutions based on the integrated data.

• Investigate and develop efficient machine learning algorithms informed by security insights and data characteristics for security detection, correlation, and investigation.

• Create and deploy product features aimed at enhancing security detection, correlation, and investigation processes.

• Establish essential processes, tools, and metrics to monitor and assess the effectiveness of detections offered to Stellar Cyber’s customers.

⛳️ Requirements

• A master’s or Ph.D. degree in Computer Science or a closely related field, with a specialization in machine learning, deep learning, natural language processing, and/or artificial intelligence.

• Demonstrated experience in roles such as Machine Learning Engineer, Research Scientist, or similar positions, with a particular emphasis on time series analysis, graph machine learning, natural language processing, and other pertinent machine learning domains.

• Proficiency with tools and frameworks used for developing machine learning applications.

• In-depth understanding of machine learning algorithms, statistical models, and deep neural networks.

• Strong problem-solving abilities, particularly the capability to translate research insights into feasible solutions.

• A robust engineering mindset and skills, including the ability to swiftly design and implement proof of concepts in Python, as well as develop and deploy production-ready solutions.

• Exceptional communication skills, both written and verbal, with the capability to convey complex concepts to both technical and non-technical audiences.

• (Preferred) Previous knowledge and/or experience in cybersecurity, including detection and response, threat hunting, etc.

• (Preferred) Familiarity with security products and their data.

• (Preferred) Knowledge of open-source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework.

🏝️ Benefits

• 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