Job description

Fortem Technologies is seeking a Senior Data Scientist to help turn raw radar returns into actionable intelligence. You will initially focus on classifying objects detected by Fortem’s TrueView radar systems — including drones, birds, aircraft, and other airspace traffic — and then expand your work to incorporate drone telemetry and additional sensor data as Fortem’s classification capabilities grow across the SkyDome Family of Systems. Key Responsibilities • Develop and deploy machine learning models to classify objects detected by Fortem’s TrueView radar systems (e.g., drones, birds, aircraft, clutter) • Analyze large volumes of radar returns and track data to identify features that improve detection and classification accuracy • Collaborate with radar and FPGA engineering teams to understand signal processing pipelines and identify opportunities for data-driven improvements • Build data pipelines and labeling workflows to curate and maintain high-quality training datasets • Extend classification capabilities to additional sensor modalities and drone telemetry data over time • Evaluate model performance in production, monitor for drift, and iterate on models and features • Communicate findings, tradeoffs, and recommendations to engineering and product stakeholders • Other related duties and tasks as assigned by engineering leadership Requirements Required Skills & Qualifications • Master’s or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, or related field, or equivalent experience • 5+ years of experience applying machine learning and data science to real-world sensor or time-series data • Strong proficiency in Python and standard ML/data libraries (NumPy, pandas, scikit-learn, PyTorch, or TensorFlow) • Experience working with radar, RF, or other raw sensor data • Solid understanding of classification, signal processing, and feature engineering techniques • Experience building and maintaining production ML pipelines • Strong communication skills, with the ability to translate ML results for a broader engineering audience Preferred Skills • Experience with radar signal processing (micro-Doppler, range-Doppler, CFAR, etc.) • Experience with drone/UAS detection and classification • Familiarity with sensor fusion or multi-target tracking algorithms • Experience with edge deployment of ML models (embedded/low-power inference) • Experience with MLOps tooling and model versioning ABOUT US Fortem Technologies is the global leader in airspace security, delivering advanced solutions that protect against today’s autonomous aerial threats while ensuring the safety of tomorrow’s advanced air mobility. Fortem’s AI-powered SkyDome® Family of Systems combines TrueView™ sensors, command-and-control software, and autonomous DroneHunter® interceptors to defend military, government, and commercial operations worldwide from hostile or unauthorized drones. Fortem is the only company authorized to deploy a drone-on-drone kinetic interceptor in U.S. airspace, and its technology has been validated in operational deployments across Europe, the Middle East, and East Asia. Headquartered in Lindon, Utah, Fortem is privately held and backed by Lockheed Martin, DCVC, Toshiba, AE Industrial Partners, AIM13, Signia Venture Partners, and others. Fortem Technologies is proud to be an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate against any employee or applicant on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. We believe that diversity drives innovation and makes us stronger.

Requirements

Must-haves

Develop and deploy machine learning models to classify objects detected by Fortem’s TrueView radar systems (e.g., drones, birds, aircraft, clutter)
Analyze large volumes of radar returns and track data to identify features that improve detection and classification accuracy
Collaborate with radar and FPGA engineering teams to understand signal processing pipelines and identify opportunities for data-driven improvements
Build data pipelines and labeling workflows to curate and maintain high-quality training datasets
Extend classification capabilities to additional sensor modalities and drone telemetry data over time
Evaluate model performance in production, monitor for drift, and iterate on models and features
Communicate findings, tradeoffs, and recommendations to engineering and product stakeholders
Other related duties and tasks as assigned by engineering leadership
Required Skills & Qualifications
Master’s or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, or related field, or equivalent experience
5+ years of experience applying machine learning and data science to real-world sensor or time-series data
Strong proficiency in Python and standard ML/data libraries (NumPy, pandas, scikit-learn, PyTorch, or TensorFlow)
Experience working with radar, RF, or other raw sensor data
Solid understanding of classification, signal processing, and feature engineering techniques
Experience building and maintaining production ML pipelines
Strong communication skills, with the ability to translate ML results for a broader engineering audience

Nice-to-haves

Experience with radar signal processing (micro-Doppler, range-Doppler, CFAR, etc.)
Experience with drone/UAS detection and classification
Familiarity with sensor fusion or multi-target tracking algorithms
Experience with edge deployment of ML models (embedded/low-power inference)
Experience with MLOps tooling and model versioning

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Keywords to mirror

machine learningpythonmlai

Platform: paylocity
Effort: medium

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