Position Title: AI/ML Cybersecurity Engineer (Anomaly Detection)Location: Placentia, CA
Pay Rate: The annual salary range for this position is $125,000 - $140,000. Please note that the salary information is a general guideline only. RTL Networks considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Status: Full-time / On-site with ability to travel to China Lake one week per quarter.
Required Clearance: Secret
Required Certification(s): n/a
Summary:RTL Networks has an exciting opportunity for a DOD Secret cleared AI/ML Cybersecurity Engineer working as a member of a team applying AI/ML techniques for anomaly detection.
Primary Responsibilities:Essential responsibilities of the AI/ML Cybersecurity Engineer include, but are not limited to:
- Must have proven track record of success applying AI/ML techniques to detect anomalies or other cybersecurity-relevant events.
- Must be strong in Python, Pandas, C/C++.
- Must have strong cybersecurity background and knowledge.
- Should have experience working with/developing embedded DoD devices.
- Strong problem-solving, troubleshooting, and analysis skills.
- Ability to work independently.
- Excellent written & verbal communication skills.
- Availability to travel one week per quarter.
Qualifications:- Bachelor's degree or higher in a STEM related discipline with 10+ years of experience.
- Must have current/active SECRET DoD Clearance.
Physical Demands:- Must be able to lift up to 15 pounds.
- Must be able to stand and walk for prolonged amounts of time.
- Must be able to twist, bend and squat periodically.
SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for clearance at this location.
NOTE:- The applicant selected for this position must have and be able to maintain an Active Security Clearance.
- U.S. Citizenship required.
- Applicants must have a valid driver's license for this position and will be subject to verification.
- Chosen applicants must pass pre-employment drug screening, credit review, and a criminal background check.
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