Junior Machine Learning Engineer

i3

Arlington, VAFull time
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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.

i3 on LinkedIn

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

PythonC/C++PyTorchneural network architecturesclassification problemslinear algebraprobabilityoptimizationanalytical and problem-solving skillstechnical documentationCUDAVHDLVerilogSECRET security clearance

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Read the full posting here
Junior Machine Learning Engineer Job Locations US-VA-Arlington ID 2026-5417 Type Full-Time Clearance Ability to obtain a SECRET security clearance Overview i3 has an exciting opportunity for a machine learning (ML) engineer to support the development of DoD systems. The ML engineer will develop and program neural network (NN)-based software solutions. Additionally, the ML engineer will aid in the analysis of artificial intelligence (AI)-enabled systems. This position is in Arlington, VA. Pay Range $93,000 - $210,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws. Responsibilities 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. Qualifications 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. About i3 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. Options Apply for this job online Apply Email this job to a friend Refer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. i3 is an Equal Opportunity/VEVRAA employer and does not discriminate against otherwise qualified applicants on the basis of race, color, religion, genetics, age, sex, sexual orientation, gender, gender identity, marital status, national origin, disability, veteran status, or any other characteristic protected by law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access the i3 Career page as a result of your disability. You can request reasonable accommodations by calling (256) 513-5179 or by sending an email to hr@i3-corps.com. Thanks for your interest in i3. i3 is a drug-free workplace. The unlawful manufacture, distribution, dispensing, possession, or use of a controlled substance is prohibited. All candidates who receive conditional offers of employment are subject to drug testing. As a government contractor, i3, its current team members, and all prospective team members are required to adhere to the COVID-19 Workplace Safety Guidance and all associated Federal Acquisition Regulation(s). There may be additional customer site vaccination requirements based on work location, facility, and travel. Join our Talent Community! 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