> Markdown version of [/jobs/ext/3565982-junior-machine-learning-engineer-231k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/3565982-junior-machine-learning-engineer-231k-yr-ts-sci-fs-poly). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Junior Machine Learning Engineer [$231k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Starter - **Salary:** $231,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Python (Programming Language), Machine Learning, Systems Integration, Scikit Learn, Data Pipelines, Software Library - **Published:** October 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9214573/junior-machine-learning-engineer-231kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 2+ years * Total Compensation: $231k+ yearly ## Description * 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., * 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.