Responsibilities:

  • Research and implement novel Machine Learning solutions to address challenges faced by Security Operations Centers.
  • Develop agentic solutions for Cyber Incident Response, solving complex security and architectural problems.
  • Identify and recommend architectural improvements, particularly within secure environments.

Qualifications Required:

  • U.S. Citizenship and 3+ years of experience in both Machine Learning and Cybersecurity.
  • Strong MLOps skills with an understanding of risks like semantic drift in security systems.
  • Experience building pipelines for active SOC systems such as anomaly detection or IDS.
  • Proficiency with major cloud platforms (AWS, Azure, GCP) and excellent problem-solving skills.

Desired Attributes:

  • Passion for cybersecurity and the impact of AI on the industry's speed and scale.
  • Understanding of foundational ML theory, including pre-LLM NLP, genetic algorithms, and energy-based models.
  • Exposure to DoD NetSecOps and an understanding of DoD/federal security compliance and expectations.

Tyto Athene

Tyto Athene is a trusted leader in IT services and solutions, delivering mission-focused digital transformation across four core technology domains: Network Modernization, Hybrid Cloud, Cybersecurity, and Enterprise IT. With over 50 years of experience, the company supports Defense, Intelligence, Space, National Security, Civilian, Health, and Public Safety clients across the United States and worldwide, fostering a collaborative, innovative, and mission-driven environment.

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