Integration Innovation, Inc. · 1 day ago
Machine Learning Engineer
Washington, DC
Full-time
Onsite
Mid Level
3+ years expIntegration Innovation, Inc. is a technically diverse, 100% team member owned business specializing in missile and aviation systems engineering and logistic services. They are seeking a machine learning engineer to support the development of DoD systems by developing neural network-based software solutions and analyzing AI-enabled systems.
IndustrialSoftwareSoftware Engineering
No H1B
Security Clearance Required
Responsibilities
Prototype and implement software-based ML systems
Work with ML architect to research applicability of various NN architectures to specific problems
Python/C++ programming and debug of a NN-based software suite
Optimization of NN architectures to maximize performance
Generate technical documentation
Qualification
Required
Bachelor's degree in electrical engineering, computer engineering, computer science, mathematics, or related field
Minimum 3 years of experience in a related field
Experience applying different NN architectures to classification problems
Ability to create and maintain a research codebase that produces robust and reproducible results
Experience developing/debugging software in Python and C++
Working knowledge of at least one ML framework (e.g. Pytorch)
Strong mathematical background (i.e. optimization theory, regularization techniques, linear algebra, etc.)
Ability to obtain a SECRET security clearance
Preferred
Experience and system knowledge to debug a training run's performance end to end
Intuition about latency and throughput characteristics of CUDA graphs and tensor core arithmetic
Experience with VHDL or Verilog
Experience writing technical documentation
Benefits
Excellent insurance coverage
401(k) match
Generous PTO
Health and wellness incentives
Tuition and certification reimbursement
Countless opportunities to give back to the community through i3 Cares
Company
Integration Innovation, Inc.
i3 is a 100% team member owned technically diverse business solving the Nation’s toughest problems.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$9.74M2025-11-20Series Unknown· $9.74M
2020-10-09Acquired
Leadership Team
Ken Shannon
Chief Operating Officer
Shannon Allen
Chief Operating Officer
Recent News
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