Machine Learning Engineer

Integration Innovation•Arlington, VA

6d•$132,000 - $234,000

About The Position

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. 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. 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. Perks of being a team member owner include: Long-term financial security Higher job satisfaction Greater job security Personal and professional growth Great company culture Other outstanding 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 We work hard. We compete hard. We play hard. Apply now to join us!

Requirements

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.).
U.S. Citizenship required.

Nice To Haves

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.

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.
Other duties as assigned.