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, test, and productize machine learning algorithms and predictive models. • Perform statistical analysis and oversee model training, retraining, and deployment pipelines. • Leverage core programming languages including Python, Java, C, and R to develop scalable AI solutions. • Collaborate across diverse teams to align model capabilities with functional requirements.

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 analysis to drive model architecture. • Implement and run machine learning algorithms using established ML li braries and packages. • Train, retrain, deploy, schedule, and monitor models based on iterative feedback. • Execute standard test and evaluation protocols to ensure optimal model performance. • Provide system integration oversight across data engineering and infrastructure environments. • Apply analytical and problem-solving skills to communicate findings and present metrics.

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