Stellar Cyber dezvoltă o platformă de operațiuni de securitate bazată pe automatizare, destinată întreprinderilor și furnizorilor de servicii gestionate. Aceasta reunește SIEM de generație următoare, detectarea și răspunsul în rețea (NDR) și Open XDR, folosind inteligența artificială pentru a corela semnalele de amenințare provenite din diverse instrumente de securitate și pentru a sprijini răspunsul automatizat la incidente. Platforma este concepută pentru a ajuta echipele de securitate să monitorizeze mediile locale, cloud și IT/OT, îmbunătățind totodată detectarea amenințărilor și răspunsul la acestea.
Security Machine Learning Engineer, Research
Research machine learning methods for threat detection and strengthen Stellar Cyber’s Open XDR platform with integrated security data and analytics.
Descriere
- Collaborate with data integration teams to shape schemas and normalize third-party security data.
- Translate security detection needs into machine learning problems and develop solutions using integrated data.
- Create efficient machine learning methods for security detection, correlation, and investigation, guided by security insights and data characteristics.
- Build product capabilities for security detection, correlation, and investigation.
- Establish processes, tools, and metrics to assess the effectiveness of detections delivered to customers.
Cerințe
- Master’s or Ph.D. in computer science or a related discipline, focused on machine learning, deep learning, natural language processing, or artificial intelligence.
- Demonstrated experience as a machine learning engineer, research scientist, or in a similar role, including work in time series analysis, graph machine learning, natural language processing, or related areas.
- Experience with tools and frameworks used to build machine learning applications.
- Strong knowledge of machine learning algorithms, statistical models, and deep neural networks.
- Strong problem-solving ability, including applying research findings to practical solutions.
- Sound engineering skills, including rapidly designing and implementing Python proof of concepts and developing production-ready systems.
- Excellent written and verbal communication skills, with the ability to explain complex ideas to technical and non-technical audiences.
- Preferred: Familiarity or experience with cybersecurity, including detection and response or threat hunting.
- Preferred: Familiarity or experience with security products and their data.
- Preferred: Familiarity or experience with open security data models such as Elastic Common Schema and Open Cybersecurity Schema Framework.
Beneficii
- Pre-IPO stock options
- Medical, dental, and vision coverage
- 401(k) plan
- Employee assistance program
- Employee discount program
- Life insurance
- Paid time off
- Referral program
- Rewards and recognition program