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# Machine Learning Engineer

- **Company:** Overwatch Imaging
- **Location:** Hood River, OR, United States (Remote available)
- **Experience:** Expert
- **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, NVIDIA Jetson, Data Pipelines
- **Published:** October 1, 2026
- **Apply:** https://startup.jobs/senior-machine-learning-engineer-computer-vision-overwatch-imaging-8706216

## 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, This position may involve access to data, technology, or software that is subject to U.S. export control laws and regulations, including the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to obtain any necessary export authorization, as determined by an export compliance assessment conducted by the company.

## 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