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# Senior Machine Learning Engineer, Computer Vision

- **Company:** Overwatch Imaging, LLC
- **Location:** Hood River, OR, United States (Remote available)
- **Experience:** Expert
- **Salary:** $165,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Artificial Intelligence, Data Analysis, Computer Vision, Big Data, C++ (Programming Language), Learning Management Systems, Data Files, Python (Programming Language), Machine Learning, NumPy, Object Detection, OpenCV, Raw Data, Tensorflow, Pytorch, Model Validation, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** July 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6314ff0f8e78fba3

## About the Role

* 5+ years of experience in machine learning, with a focus on computer vision
 * B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience
 * Hands-on experience building and improving computer vision or perception models in production or real-world systems, especially for object detection, object tracking
 * Strong understanding of model evaluation, including selecting metrics, building test sets, analyzing false positives/false negatives, and measuring performance over time for iterative improvement

Technical Skills

 * Experience with PyTorch or Tensorflow
 * Strong understanding of modern computer vision architectures:
 + CNNs, transformers (ViTs), and/or multi-model models
 + OpenCV, NumPy, or similar
 * Experience building training and data pipelines for medium to large scale datasets
 * Strong python skills and solid software engineering fundamentals

Bonus

 * Aerial imagery, geospatial data, or remote sensing
 * Photogrammetry
 * Multi-modal learning systems
 * Familiarity with state estimation and tracking methods (Kalman Filters, DeepSORT, ByteTrack, etc)
 * Experience with performance languages (C++ or similar)
 * Model deployment onto Nvidia Jetson based edge hardware

## Description

Join our dynamic team to build, maintain, and optimize the end-to-end data and model pipelines that power our core Artificial Intelligence systems. This is a hands-on role perfect for an ambitious engineer who is passionate about taking raw data through the entire lifecycle, from scraping and wrangling to production-ready, trained models.
This role is remote-friendly, with a preference for candidates who can spend occasional time onsite in Hood River, OR.

What You'll Do:

 * MLOps and Training Infrastructure
 + Design and improve training pipelines to support faster, continuous model iteration
 + Enable scalable experimentation across datasets, model architectures, and training strategies
 + Improve reproducibility, experiment tracking, and comparison of training runs
 * Data Pipelines and Dataset Quality
 + Build and refine workflows for:
o Data indexing, curation, and preprocessing
o Label quality validation and dataset management
o Data exploration for targeted labeling

 + Develop evaluation and tests that reflect real-world operating conditions
 + Improve synthetic data workflows to support targeted model improvement
 * Model Development and Experimentation
 + Train, evaluate, and iterate on computer vision models for:
o Detection, segmentation, classification, tracking
o Transformer and multi-modal architectures where appropriate

 + Continuously explore and evaluate:
o new model families and research directions
o Domain-specific optimizations for aerial imagery, small-object detection

 + Incorporate multi-modal inputs including:
o Multiple image bands
o Platform and sensor metadata (range, angles, telemetry, etc.)

 * Edge deployment and Optimization
 + Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
 + Balance accuracy, latency, and resource constraints for real-world, real-time workflows


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