Security Machine Learning Engineer / Researcher

Who you are

• 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

What the job involves

• 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
• 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

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