Position: Software Engineer – Level 2 / Level 3
Location: Laurel, MD
Employment Type: Full-Time
Clearance Requirement: Active TS/SCI with Polygraph
Salary Range: $206,000 – $248,000 / year (dependent on experience, education, and skill set)
About the Role
Seeking an experienced Software Engineer (Level 2/3) to develop, prototype, and enhance compliance modernization analytics and business processing systems in Laurel, MD.
In this role, you will design and implement automated compliance tools, integrate machine learning algorithms, and conduct proof-of-concept research within an R&D environment. You will engineer predictive models, develop features, establish operational monitoring for deployed pipelines, and build data-driven tools that integrate with enterprise corporate platforms.
Key Responsibilities
- Design, prototype, and maintain compliance automation tools and business processing analytics.
- Implement, test, and validate machine learning and AI algorithms (e.g., Random Forest, GMLearn) within an R&D test environment.
- Conduct Exploratory Data Analysis (EDA) and execute advanced feature engineering on complex datasets.
- Build, deploy, and monitor machine learning models, data flows, and performance telemetry.
- Integrate distributed MapReduce processing workflows (Ghostmachine) with backend data pipelines.
- Develop full-stack and analytical software using Python, Java, Scala, Lucene, JEXL, SQL, and JSON within a Linux environment.
- Collaborate using Jira, Confluence, Git/GitLab, and Bitbucket, maintaining comprehensive technical documentation and participating in peer reviews.
Required Qualifications & Experience
Security Clearance: Active TS/SCI with a current Polygraph.
Experience & Education
- Bachelor’s degree in Computer Science or a related discipline from an accredited institution plus at least 14 years of software engineering experience on programs of similar scope and complexity, OR
- 18 years of relevant software engineering experience without a degree (4 additional years substituting for the degree).
Programming & Environment: Advanced development experience using Python, Java, and/or Scala in Linux operating environments.
Machine Learning & Data Processing: Hands-on experience with Scikit-learn, Random Forest modeling, feature engineering, Jupyter Notebooks, Lucene, JEXL, SQL, JSON, and MapReduce distributed frameworks.
Development Tooling: Proficiency with IDEs (IntelliJ, Eclipse), version control (Git, GitLab, Bitbucket), and collaboration tools (Jira, Confluence).
Domain Knowledge: Familiarity with customer compliance authorities, enterprise corporate systems, and governance standards.
Desired Qualifications
- Strong foundational background in Data Science and applied statistical analysis.
- Experience deploying ML systems and pipelines to Amazon Web Services (AWS).
- Hands-on experience with Apache Spark for distributed data processing.
- Exposure to Large Language Models (LLMs), prompt engineering, and Agentic AI architectures.
Benefits & Compensation
This position offers a comprehensive benefits package designed to support employees both personally and professionally:
- Comprehensive Health, Dental, and Vision Insurance
- Basic Life and Disability Insurance
- Paid Time Off (PTO) and Paid Holidays
- 401(k) Retirement Plan with Company Match
- Tuition Reimbursement for ongoing education and professional development
Machine Learning Engineer (TS/SCI Clearance With Full Scope Polygraph Required) in laurel at Unknown Company
This position is listed as full time and onsite.