Machine Learning Research Scientist

Position Overview

The Advanced Warfare Technology Division of the Leidos Innovation Center in Beavercreek, OH is seeking a Machine Learning Research Scientist to support remote sensing programs. In this role, you will work with a multi-disciplinary team (including Electrical Engineers, Physicists, and Computer Scientists) to design, develop, simulate, and integrate new algorithms into sensor systems and data fusion solutions for applications such as SAR/RF, acoustic, EO/IR, and LIDAR. You will lead technical project areas, drive cutting-edge research in detection, tracking, data fusion, and classification, and work closely with customers to address challenging mission requirements. Please note this position requires approximately 75% onsite work with flexible in-office hours and some remote work options.

Key Responsibilities

• Provide technical leadership and drive program tasks within the Combat Identification team.
• Collaborate with teams to research, design, and develop sensor exploitation systems including signal processing, automatic target recognition (ATR), and signature modeling.
• Develop ATR algorithms using Python, MATLAB, C++, and other languages, leveraging state-of-the-art AI/ML tools to enhance system performance.
• Rapidly implement new algorithms and develop performance models for target recognition solutions.
• Engage in high-level software development tasks including design, troubleshooting, and debugging using Python, PyTorch, C++, Matlab, Java, or similar languages.
• Contribute to agile team activities such as sprint planning, demos, and retrospectives, while ensuring sound software engineering principles.
• Provide inputs to testing processes and author/design test methodologies including DOE and Combinatorial Testing.

Required Qualifications

• Bachelor’s degree with 8+ years of relevant experience or Master’s with 6+ years; Doctorate considered in a technical domain.
• Excellent communication skills to effectively present technical solutions to coworkers, teammates, and customers.
• Proficiency with common machine and deep learning packages (e.g., Scikit-Learn, PyTorch) and experience developing computer vision applications.
• Strong programming skills in Python and/or C/C++ for Linux and Windows environments, with significant experience in MATLAB.
• Solid background in machine learning, artificial intelligence, or data science along with experience in unit testing, documentation, and technical presentations.
• Active SECRET clearance (or higher) with the ability to obtain TS/SCI clearance; US citizenship required.

Preferred Qualifications

• Experience with Automatic Target Recognition algorithm development and sensor exploitation techniques.
• Experience working with synthetic aperture radar (SAR) and/or synthetic aperture lidar (SAL) data, as well as multi-sensor data fusion.
• Background in multi-statics radar research and familiarity with tools like Gitlab and Jira in an agile project management environment.
• Completion of AFSIM training and experience in model verification and validation.
• Demonstrated understanding of statistics and experience working within agile teams.

Benefits & Perks

• Competitive Compensation: Pay Range $107,900.00 - $195,050.00
• Health and Wellness Programs.
• Income Protection.
• Paid Leave & Retirement.