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Junior Machine Learning Engineer [$231k/yr+] TS/SCI-FS Poly

SYSTOLIC

Posted 1 week ago

Job Requirements

Annapolis Junction, MD
Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph
Early Career (2+ yrs experience)
Salary not specified
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Job Description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.

Summary:
• Design, build, test, and deploy artificial intelligence and machine learning algorithms to address complex technical challenges.
• Train, evaluate, monitor, and optimize predictive models leveraging modern ML libraries, packages, and statistical methods.
• Collaborate with data pipelines and engineering teams utilizing languages such as Python, Java, C, or R.

Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 2+ years
• Total Compensation: $231k+ yearly

Job Description:
• Select appropriate data sets and perform statistical analyses to support model design and validation.
• Design, implement, and run machine learning algorithms capable of learning and generating accurate predictions.
• Train, retrain, deploy, schedule, and iteratively improve models based on system performance and feedback.
• Utilize machine learning libraries and tools to construct scalable architectures for optimal performance.
• Execute standard test and evaluation protocols while supporting system integration.
• Apply strong analytical and problem-solving capabilities to serve as a key resource on AI/ML initiatives.

About SYSTOLIC:

SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.

To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119