Software Engineer (SME) - TS / SCI with Polygraph Required

Software Engineer (SME) - TS / SCI with Polygraph Required

Job Locations

US-VA-McLean

Job ID

2025-13219

# of Openings

Category

Engineering

Benefit Type

Salaried High Fringe / Full-Time

Overview

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Position is on the research staff of a government consulting organization and will be based out of Reston, VA. This position provides verified mathematical and scientific techniques programmatically to answer questions prioritized by the Sponsor.

Responsibilities

The Contractor Team shall train machine learning models in a variety of ways, to meet a variety of functions, including but not limited to : Synthesis of code to be used for automated webscrapes; Automation of other functions related to webscrapes, including detection and "self-healing" of scrapes; Automated visual detection of object types (like types of vehicles, license plates, etc) within video data; Automated review and analysis of terms of service of companies; Automating open source collection of data that could be used to train Sponsor-owned AI / ML systems and models. The Contractor Team shall provide Model training based on training data that may need to be acquired from other components. The Contractor Team shall create complete AI-based systems, which may include multiple inputs, models, human-review processes and outputs ETL processes and databases.

Qualifications

Required

Demonstrated experience with the ability to understand and automate customer workflows and business processes with AI solutions

• Demonstrated experience in data structures, data modeling, and software architecture
• Demonstrated in-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, Tensorflow, etc.
• Demonstrated experience with extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms
• Demonstrated experience in AI / ML specific programming languages, such as Python, Jav, C++, Conda, etc.

Demonstrated experience training AI models, as well as in integrating pre-trained models into dataflows and software architectures.

#LI-SH1

Target salary range : $104,040 - $183,600. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and / or certifications.

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact

Colorado Residents : In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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