Machine Learning Engineer

Job Description:

• Serve as a subject matter expert in Machine Learning and its applications in Cyber Defense, researching and implementing differentiating and novel ML-based solutions to problems SOCs face.
• Developing agentic solutions for Cyber Incident Response.
• Solve complex security and architecture challenges with creativity and precision, with a focus on real-time performance and scalability.
• Identify and recommend improvements to architectures, especially in secure environments.

• U.S. Citizenship (required for federal projects)
• 3+ years of experience with ML
• 3+ years of experience with Cybersecurity, (purple preferred)
• Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security-oriented system.
• Experience developing pipelines that feed to an SOC, ideally an active system such as anomaly detection or IDS rather than just a static or periodically updated dashboard.
• Proficiency with major cloud platforms, such as AWS, Azure and GCP
• Excellent problem-solving, communication, and collaboration skills
• Ability to work independently with distributed teams in a fast-paced, agile environment
• Eagerness to learn new technologies and drive innovation

• Health/Dental/Vision
• 401(k) match
• Paid Time Off
• STD/LTD/Life Insurance
• Referral Bonuses
• professional development reimbursement
• parental leave