Machine Learning Engineer

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

📋 Description

• Act as a subject matter authority in Machine Learning and its applications within Cyber Defense, focusing on researching and implementing innovative ML-driven solutions to challenges faced by Security Operations Centers (SOCs).

• Create proactive solutions for Cyber Incident Response.

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

• Identify and propose 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, with a preference for purple team experience

• Strong MLOps capabilities and an understanding of the risks, such as semantic drift, in security-focused systems.

• Experience in developing pipelines that support an SOC, ideally for active systems like anomaly detection or IDS, rather than merely static or periodically updated dashboards.

• Proficient with major cloud services, including AWS, Azure, and GCP

• Exceptional problem-solving, communication, and teamwork abilities

• Capacity to work autonomously with distributed teams in a dynamic, agile setting

• Willingness to embrace new technologies and foster innovation

🏝️ Benefits

• Health, Dental, and Vision insurance

• 401(k) matching

• Paid Time Off

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

• Referral Bonuses

• Professional development reimbursement

• Parental leave