Senior Machine Learning Engineer, Computer Vision

Overwatch Imaging • Hood River, OR

5d • $165,000 - $190,000 • Hybrid

About The Position

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.

Requirements

• 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
• 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
• All applicants must be authorized to work on a permanent basis in the United States.

Nice To Haves

• 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

Responsibilities

• 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
• Build and refine workflows for data indexing, curation, and preprocessing
• Build and refine workflows for label quality validation and dataset management
• Build and refine workflows for data exploration for targeted labeling
• Develop evaluation and tests that reflect real-world operating conditions
• Improve synthetic data workflows to support targeted model improvement
• Train, evaluate, and iterate on computer vision models for detection, segmentation, classification, tracking
• Train, evaluate, and iterate on computer vision models using Transformer and multi-modal architectures where appropriate
• Continuously explore and evaluate new model families and research directions
• Continuously explore and evaluate domain-specific optimizations for aerial imagery, small-object detection
• Incorporate multi-modal inputs including multiple image bands
• Incorporate multi-modal inputs including platform and sensor metadata (range, angles, telemetry, etc.)
• Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
• Balance accuracy, latency, and resource constraints for real-world, real-time workflows

Benefits

• Growth Opportunities
• Impact Opportunity
• Team Collaboration
• Late Start Wednesday
• Time Off: Generous PTO
• Holidays: Overwatch Imaging recognizes 10 company holidays.
• Ownership: Equity/Stock Options
• Health Benefits: Medical/Dental premiums 100% covered by Overwatch Imaging for employees and their families, plus available pre-tax health savings account.
• 401K: Employer matching contributions up to 4% of pay.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior