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Integration Innovation, Inc. (i3)

Junior Machine Learning Engineer

Arlington, VA, United States

Pay Range $93,000 - $210,000

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Job details

Pay: Pay Range $93,000 - $210,000
Apply by: Nov 2, 2027
Experience: 0–2 years of relevant experience, including internships, academic research, or project work.
Posting language: English
Posted: Nov 2, 2024

Original job description

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.

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More about this job

Skills

Machine learning
ML
Research
Python
C++
Documentation
Electrical engineering
Computer engineering
Computer science
C
PyTorch
Problem solving
Verilog
Reverse engineering

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