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Intelligent Systems Engineer
2 months ago
Company Overview
Riverside Research is a dedicated National Security Nonprofit focused on advancing research and development in the national interest. We offer high-level technical services, innovative research, and prototype solutions to address some of the most complex technical challenges faced by the nation. All positions at Riverside Research require U.S. Citizenship.
Position Summary
We are looking for a talented Machine Learning Engineer to contribute to ongoing projects aimed at developing automation solutions for intricate Scientific & Technical Intelligence challenges. As a key member of our expert team, you will analyze intelligence data to identify opportunities for automation.
Key Responsibilities
- AI/ML Algorithm Development: Create prototype AI/ML algorithms and software tools utilizing Python and the TensorFlow API.
- Model Training: Train AI/ML models and optimize their hyperparameters to meet specific dataset objectives.
- Data Visualization: Use TensorBoard to visualize hyperparameter optimization spaces for selecting optimal parameters.
Data Management:
- Implement customized data quality control solutions to ensure accurate mappings for AI/ML algorithms on complex datasets.
- Develop and manage databases, data lakes, and data warehouses for both structured and unstructured data.
Research and Development:
- Apply best practices in machine learning and computer vision to analyze large, complex datasets.
- Stay updated with state-of-the-art practices in AI/ML and contribute innovative ideas to tackle longstanding challenges in remote sensing.
Software Development Standards:
- Participate in code reviews and adhere to best practices for documentation and unit testing.
- Follow Python PEP8 standards in coding.
Qualifications
- Must possess a minimum of Secret clearance and be eligible for TS/SCI clearance.
- At least 2 years of experience with a Bachelor's Degree in Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or a related field.
- Proficiency in Python-based AI/ML model development lifecycle using a recent deep learning platform, preferably TensorFlow.
- Familiarity with version control systems and collaborative tools such as MS Office.
- Strong analytical, critical thinking, and problem-solving skills.
- Ability to communicate complex technical results clearly.
Preferred Qualifications:
- Advanced degree (MS/PhD) in Data Science, Mathematics, Statistics, Computer Science, or a related field with significant experience.
- Active TS/SCI Security Clearance.
- Experience with DoD intelligence production processes.
- Operational experience in radar signal processing, imagery analysis, or electronic warfare data analysis.
- Experience with data visualization tools in Python.
- Familiarity with large image data formats and web-based systems development.
Compensation:
The typical compensation range for this position is between $80,000 and $130,000, depending on experience and other factors.
Equal Opportunity Statement:
Riverside Research is an affirmative action-equal opportunity employer, committed to providing a diverse and inclusive workplace. We comply with all applicable laws regarding recruitment and hiring.
