Junior Machine Learning Engineer
i3
- Pay
- $93K to $210K
- a year
- Location
- Arlington, VA
- Job type
- Full time
- Posted
- Nov 3
- 1 day ago
Career path
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About the company
i3
Defense & space · 501 to 1,000 employees
i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers.
What you'll do
- Prototype and implement software-based machine learning systems under senior engineers and ML architects
- Research and evaluate neural network 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
- Conduct reproducible experiments and generate technical documentation
What you need
- 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.
- 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.
- Ability to obtain a SECRET security clearance.
- U.S. Citizenship required.
- Education: a bachelor's degree or a postgraduate degree
Key skills
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