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Stellar Cyber
Stellar Cyber
51 – 200 Darbinieki
H1B vīzas sponsorsKiberdrošībaMākslīgais intelektsUzņēmums
Stellar Cyber develops an automation-driven security operations platform for enterprises and managed service providers. It brings together next-generation SIEM, Network Detection and Response (NDR), and Open XDR, using AI to connect threat signals across security tools and support automated incident response. The platform is designed to help security teams monitor on-premises, cloud, and IT/OT environments while improving threat detection and response.
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Vakances uzņēmumā

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.

USAmerikas Savienotās Valstis
150 000 $ – 215 000 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuMašīnmācīšanās inženieris
KiberdrošībaPython

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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

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