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. We’ve 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

We're looking for a Machine Learning Engineer who thrives in high-uncertainty, high-autonomy environments. You’ll help us develop, train, and deploy deep learning models for image-based perception, real-time simulation, and autonomous agent behavior. You’ll 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

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

Future Full-time Compensation (post-funding) And Benefits For Early Contributors

Ideal Candidate

You’re comfortable in ambiguity, driven by mission, and excited to see your models in the real world. You’re looking to build something meaningful — not just optimize ads.

Absentia Technologies

Latest Jobs

Machine Learning Engineer