System Two Security

System Two Security

Principal LLM Application Engineer

USA · Principal

Sponsorship not specifiedDetected 658 days ago
PythonDevOpsMachine LearningDeep LearningNLPLLMsRAGMLOpsCybersecurityDetection EngineeringProduct ManagementProduct StrategyResearchLeadershipCommunicationCollaborationProblem Solving

About the role

  • About System Two Security System Two Security is driving SOC transformation with its unique application of AI computing with an initial focus on generative AI powered proactive threat research, threat analysis and iterative threat hunting.
  • Early users of the product include prominent MSSPs, and enterprise SOCs across retail, healthcare, SaaS and technology verticals.
  • It is based in Palo Alto, CA and is venture funded by The Hive.

Responsibilities

  • Implement and fine-tune state-of-the-art Large Language Models for various applications, focusing on performance and accuracy.
  • Maintain detailed documentation of methodologies, models, and results, communicating findings across the organization.
  • Experience in building GenAI solutions using RAG framework and building LLM Agentic applications is preferred.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proficiency in programming languages such as Python or R.

Skills

  • Data and Model Parallel Training: Utilize data and model parallel training techniques for efficient handling of large-scale models.
  • Required Skills Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in natural language processing, machine learning, and/or data science.
  • Experience in Python or R.
  • Experience working with large language models, such as GPT-3+, LLAMA, or similar.
  • Strong problem-solving skills and the ability to think creatively to identify new opportunities for LLMs in our products and services.
  • Experience with one or more deep learning frameworks.
  • A deep theoretical or empirical understanding of deep learning.
  • Strong analytical and debugging skills.
  • Familiarity with cloud-based infrastructure and distributed computing.
  • Experience with DevOps/MLOps/LLMOps.
  • Ability to address complex challenges in model training and optimization.

Benefits

  • Design, test, and deploy Machine learning models, including large-language models and build pipelines at scale for batch and real-time use cases.
  • Experience in building, testing and deploying machine learning models, including large language models.
  • Passion for staying updated with the latest trends in AI and machine learning.
  • Preferred Skills Master's or PhD in Computer Science, AI, or related fields, with a focus on machine learning and natural language processing.
  • Benefits Medical, Dental, and Vision Equity in the company
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