Absentia Technologies
Overview
Title: Machine Learning Engineer (Full-Time / Equity Option) Location: Remote Company: Absentia Technologies Industry: Artificial Intelligence Defense Aerospace Autonomy
About Us
Absentia Technologies is an AI research and defense technology company creating modular, mission-adaptable agents for perception, prediction, and autonomy. From satellites and drones to battlefield awareness and scientific applications, our systems power decision-making where clarity is critical. We develop focused agents that can work independently or in collaboration: Ghost Restores visibility through smoke, fog, haze, turbidity, and other obstructions Specter Enhances low-light and obscured visuals across EO/IR/LiDAR/radar Phantom Enables object detection, anomaly identification, and imagery intelligence Wraith Simulates future states and forecasts spatial/temporal battlefield conditions Spirit Corrects distortion from atmospheric interference to restore spatial clarity Shade Removes light pollution and urban skyglow from nighttime imagery
Our early agents Ghost, Specter, and Phantom are entering beta. Weve applied for over a dozen government grants and are working toward pilot deployments in both commercial and defense sectors. With hardware on the roadmap and real-time demos in progress, now is the time to join our core engineering team. The Role
Were looking for a Machine Learning Engineer who thrives in high-uncertainty, high-autonomy environments. Youll help us develop, train, and deploy deep learning models for image-based perception, real-time simulation, and autonomous agent behavior. Youll work directly with the CEO and founding team to scale our tech into real-world systems. Responsibilities
Design and train computer vision models for satellite, aerial, and underwater imagery Build and maintain scalable ML pipelines for model training and inference Prototype and refine core models for edge deployments (drones, small systems, etc.) Collaborate on tools for prediction, anomaly detection, and battlefield simulation Contribute to research, experimentation, and integration of ML across modular agents
Requirements
Strong experience with PyTorch or TensorFlow Proficiency in computer vision, deep learning, and model optimization Solid understanding of CNNs, transformers, and real-time inference techniques Experience with data annotation, augmentation, and evaluation metrics US citizenship and clearence eligibility Bonus: experience with autonomous systems, geospatial data, or defense applications
What We Offer
Competitive equity in a high-growth dual-use startup Remote-first, flexible work environment Direct impact on national security, autonomy, and AI research Opportunity to shape the technical direction of an early-stage company
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Title: Machine Learning Engineer (Full-Time / Equity Option) Location: Remote Company: Absentia Technologies Industry: Artificial Intelligence Defense Aerospace Autonomy
About Us
Absentia Technologies is an AI research and defense technology company creating modular, mission-adaptable agents for perception, prediction, and autonomy. From satellites and drones to battlefield awareness and scientific applications, our systems power decision-making where clarity is critical. We develop focused agents that can work independently or in collaboration: Ghost Restores visibility through smoke, fog, haze, turbidity, and other obstructions Specter Enhances low-light and obscured visuals across EO/IR/LiDAR/radar Phantom Enables object detection, anomaly identification, and imagery intelligence Wraith Simulates future states and forecasts spatial/temporal battlefield conditions Spirit Corrects distortion from atmospheric interference to restore spatial clarity Shade Removes light pollution and urban skyglow from nighttime imagery
Our early agents Ghost, Specter, and Phantom are entering beta. Weve applied for over a dozen government grants and are working toward pilot deployments in both commercial and defense sectors. With hardware on the roadmap and real-time demos in progress, now is the time to join our core engineering team. The Role
Were looking for a Machine Learning Engineer who thrives in high-uncertainty, high-autonomy environments. Youll help us develop, train, and deploy deep learning models for image-based perception, real-time simulation, and autonomous agent behavior. Youll work directly with the CEO and founding team to scale our tech into real-world systems. Responsibilities
Design and train computer vision models for satellite, aerial, and underwater imagery Build and maintain scalable ML pipelines for model training and inference Prototype and refine core models for edge deployments (drones, small systems, etc.) Collaborate on tools for prediction, anomaly detection, and battlefield simulation Contribute to research, experimentation, and integration of ML across modular agents
Requirements
Strong experience with PyTorch or TensorFlow Proficiency in computer vision, deep learning, and model optimization Solid understanding of CNNs, transformers, and real-time inference techniques Experience with data annotation, augmentation, and evaluation metrics US citizenship and clearence eligibility Bonus: experience with autonomous systems, geospatial data, or defense applications
What We Offer
Competitive equity in a high-growth dual-use startup Remote-first, flexible work environment Direct impact on national security, autonomy, and AI research Opportunity to shape the technical direction of an early-stage company
#J-18808-Ljbffr