> Markdown version of [/jobs/ext/4546109-junior-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4546109-junior-machine-learning-engineer). 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 - **Company:** I3, Llc - **Location:** Arlington, VA, United States - **Experience:** Starter - **Salary:** $93,000.0 - $210,000.0 - **Contract:** Internship / Graduate position - **Skills:** Software Suite, Artificial Neural Networks, C++ (Programming Language), Profiling, Nvidia CUDA, Computer Programming, Computer Engineering, Software Debugging, General-Purpose Computing on Graphics Processing Units, Hardware Description Language, Hardware Design, Python (Programming Language), Machine Learning, Verilog, VHSIC Hardware Description Language (VHDL), Pytorch, Evaluation Pipelines, Information Technology, Reverse Engineering Software, Machine Learning Operations - **Published:** November 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9284891/junior-machine-learning-engineer ## About the Role You should bring: * Bachelor's degree in electrical engineering, computer engineering, computer science, mathematics, or a related field. * 0-2 years of relevant experience, including internships, academic research, or project work. * Familiarity with neural network architectures and their application to classification problems. * Programming experience in Python, familiarity with C/C++, and working knowledge of at least one ML framework, such as PyTorch. * Foundational understanding of linear algebra, probability, and optimization, with strong analytical and problem-solving skills. * Strong analytical and problem-solving skills, with the ability to learn new tools and technologies. Preferred: * Master's degree in electrical engineering, computer engineering, computer science or mathematics. * Experience with training, evaluating, or fine-tuning neural network models. * Familiarity with profiling ML workloads and identifying performance bottlenecks. * Exposure to GPU computing, CUDA, tensor cores, or other ML acceleration technologies. * Familiarity with hardware description languages such as VHDL or Verilog. * Experience writing technical documentation for software, research, or engineering projects. * Experience with reverse engineering software, hardware designs, or compiled code to understand system behavior and identify underlying functionality. Clearance Requirements: * Ability to obtain a SECRET security clearance. * U.S. Citizenship required. ## Description In this role, you will: * Prototype and implement software-based machine learning systems under the guidance of senior engineers and ML architects. * Research and evaluate neural network (NN) architectures for specific problems and application requirements. * Develop, test, and debug Python and C++ software for an NN-based software suite. * Curate and generate datasets, develop training and evaluation pipelines, and optimize models for accuracy and performance. * Conduct reproducible experiments and generate technical documentation describing implementations, methodologies, and results.