Job Title:AI and ML Security Engineer, Senior
Location: Arizona city, AZ
Duration: 6 Months + Extension
Bill Rate: 72$/hr.
Job Type: C2C/1099 Contract
Client: To Be Discussed Later
Work Authorization:
. USC
. GC
. H-1B
. OPT-EAD
. GC-EAD
. -EAD
Job Summary:
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support intelligence analysis. As a machine learning engineer on our AI team, you'll train, test, deploy, and maintain models that learn from data.
In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll be part of a talented team of machine learning engineers across the company and collaborate with network analysts to deliver world class solutions to conduct red team evaluations of machine learning systems, including LLMs, and use intelligence analysis to evaluate exploitation risks and operational impacts. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for national security.
Join us. The world can't wait.
You Have:
- Experience with Python for building automated red-team tests or evaluations
- Experience with Linux and containerized environments, such as Docker or Docker Compose, to operate model-testing or red-team tooling
- Experience with red-team methodologies, including stress-testing, structured prompts, failure-mode discovery, vulnerability identification, or behavior scoring
- Ability to analyze ML or LLM outputs, identify misbehavior or data leakage patterns, and document findings clearly
- Ability to synthesize technical evidence with intelligence context and communicate risk to both technical and non-technical audiences
- TS/SCI clearance with a polygraph
- Bachelor's degree and 3+ years of experience with AI or ML, or 6+ years of experience with AI or ML in lieu of a degree
Nice If You Have:
- Experience with red-teaming LLM systems
- Experience with AI or ML evaluation or security testing
- Experience applying AI or ML red-team results to operational intelligence workflows, including TTP mapping, adversary-capability analysis, or mission COA development
- Knowledge of enterprise AI Security offerings and tooling ecosystem used to probe ML and LLM systems
- Knowledge of data-fusion, anomaly-detection, or analytic-augmentation methods used in modern intelligence environments
Note: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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