Machine Learning Engineer / Software Developer

Absentia Technologies; Columbia (SC); Remote; USD 80,000; Full time

Job summary

A leading company is seeking a Machine Learning Engineer / Software Developer to enhance image processing using AI. This role involves developing deep learning models for real-time data enhancement in dynamic fields. The position offers competitive pay, equity, and the opportunity to contribute to innovative projects in security and aerospace.

Benefits

Equity in a high-impact startup

High autonomy and influence over architecture

Deferred salary during pre-funding stage

Remote-first flexibility

Qualifications

• Proven experience in computer vision and scientific imaging.
• Strong programming skills in Python; familiarity with PyTorch is essential.
• Experience preparing and managing datasets from noisy sources.

Responsibilities

• Design, train, and deploy deep learning models for image enhancement.
• Curate visual datasets from various sources.
• Optimize inference performance for real-time applications.

Skills

Computer vision

Image enhancement

Scientific imaging

Python

Deep learning

Data management

Education

Degree in a relevant field

Tools

PyTorch

AWS

Job description

Machine Learning Engineer / Software Developer

Join to apply for the Machine Learning Engineer / Software Developer role at Absentia Technologies

Machine Learning Engineer / Software Developer

Join to apply for the Machine Learning Engineer / Software Developer role at Absentia Technologies

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Absentia Technologies provided pay range

This range is provided by Absentia Technologies. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80,000.00/yr - $80,000.00/yr

Location: Remote (U.S.-based preferred)

Type: Full-time | Equity + Deferred Salary

About Absentia Technologies

Absentia Technologies is revolutionizing real-time image capture by leveraging AI to transform raw data from digital instruments into clearer and more interpretable imagery. Our suite of AI models enhances visual capabilities across various industries, including scientific research, security, and battlefield awareness.

We’re a small, mission-driven team working on ambitious problems across aerospace, security, and scientific domains. Our tech is used to make sense of what’s hard to see — in space, on Earth, and beyond.

Our Products

• GHOST: Removes atmospheric diffusion such as clouds, smog, and deep-sea turbidity.
• SHADE: Eliminates light pollution to provide unobstructed views in environments affected by urban lighting.
• SPIRIT: Corrects atmospheric disturbances using astronomical data analysis.
• PHANTOM: Detects and identifies objects, generating visuals for aerial surveillance and satellite imagery.
• SPECTER: Enhances low-light visibility to reveal details not otherwise visible.
• WRAITH: Generates predictive footage in real-time, enabling visual forecasting.
  
  

What You’ll Do

• Design, train, and deploy deep learning models focused on real-time image enhancement and reconstruction
• Collect and curate visual datasets from public and proprietary sources (e.g., satellite imagery, deep-sea footage, urban surveillance, astrophotography)
• Annotate and pre-process data to ensure high-quality training and validation pipelines
• Build modular, scalable training workflows using PyTorch and supporting tools
• Optimize inference performance for real-time and near-real-time deployment
• Conduct ablation studies and benchmarking across different vision model types
• Collaborate closely with the engineering and research team to integrate models into the larger Absentia system
• Document research, models, and data workflows with reproducibility and clarity in mind
• Continuously explore and evaluate new architectures, algorithms, and data sources relevant to Absentia’s evolving product stack
  
  

What We’re Looking For

• Proven experience in computer vision, image enhancement, or scientific imaging with machine learning
• Strong programming skills in Python; familiarity with PyTorch is essential
• Demonstrated ability to design, implement, and optimize training pipelines at scale
• Experience preparing and managing datasets, especially from noisy, real-world sources
• Ability to read and implement research papers and apply them to production or experimental models
• Familiarity with evaluating model performance in edge cases or difficult environments (e.g., low light, blur, occlusion)
• Self-motivated and comfortable working independently in a highly technical, early-stage setting
• Clear communication skills and a collaborative mindset
  
  

Nice to Have

• Prior work with satellite, aerial, or astronomical image datasets
• Experience deploying ML models using AWS (e.g., SageMaker, EC2, S3, TorchServe)
• Knowledge of diffusion models, ViTs, GANs, or hybrid architectures
• Experience working with government, defense, or research institutions
• Background in multi-modal data or predictive time-series modeling
  
  

What We Offer

• Equity in a high-impact, mission-focused startup
• Deferred salary during the pre-funding stage
• High autonomy, and influence over system architecture and product design
• A chance to build core technology used in security, aerospace, and research applications
• Remote-first flexibility with asynchronous collaboration
  
  

How To Apply

If you're passionate about AI and want to be part of a team that's pushing the boundaries of image enhancement, we'd love to hear from you. Please visit our website at www.absentiatech.com to learn more, and reach out to us through our contact page with your resume and relevant work examples.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Space Research and Technology

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