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

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

Summary: • Design, create, test, and deploy AI/ML algorithms and models to solve complex operational challenges. • Train, retrain, monitor, and iteratively improve models using modern machine learning li braries and packages. • Interact with data pipelines and perform statistical analyses to optimize model performance and business logic.

Qualifications && Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 2+ years • Total Compensation: $231k+ yearly (tentative) Job Description: • Select appropriate data sets and conduct rigorous statistical analysis. • Develop, run, test, and productize machine learning algorithms and scalable architectures. • Deploy, schedule, monitor, and refine models based on iterative feedback and performance metrics. • Utilize various ML li braries and programming languages such as Python, Java, C, or R. • Execute standard test and evaluation protocols and provide system integration oversight. • Collaborate across technical teams to serve as a key point of contact for AI-related engineering efforts.

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