Machine Learning Engineer

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Act as a subject matter expert in Machine Learning and its applications within Cyber Defense, conducting research and implementing unique ML-based solutions to address challenges faced by Security Operations Centers (SOCs).

• Create proactive solutions for Cyber Incident Response.

• Tackle intricate security and architecture issues with creativity and accuracy, emphasizing real-time performance and scalability.

• Recognize and suggest enhancements to architectures, particularly in secure environments.

⛳️ Requirements

• U.S. Citizenship (mandatory for federal projects).

• Over 3 years of experience in Machine Learning.

• More than 3 years of experience in Cybersecurity (purple team experience preferred).

• Strong MLOps capabilities and a solid understanding of risks such as semantic drift in security-focused systems.

• Proven experience in developing pipelines that support an SOC, preferably within an active system like anomaly detection or IDS rather than just a static or periodically updated dashboard.

• Proficiency with leading cloud platforms, including AWS, Azure, and GCP.

• Exceptional problem-solving, communication, and teamwork skills.

• Capability to work independently with distributed teams in a dynamic, agile setting.

• Enthusiasm for learning new technologies and fostering innovation.

🏝️ Benefits

• Health/Dental/Vision coverage.

• 401(k) matching.

• Paid Time Off.

• Short-Term and Long-Term Disability/Life Insurance.

• Referral Bonuses.

• Reimbursement for professional development.

• Parental leave.