Senior Machine Learning Engineer, Computer Vision

Machine Learning Engineer (Computer Vision) Location: Hood River, OR (Remote preferred, occasional onsite in Hood River) Salary: $165K-$190K About The Company: Overwatch Imaging is an imagery intelligence technology company working to bring sensor autonomy to time‑critical airborne search, detection, tracking, and monitoring missions. Founded in 2016 in Hood River, Oregon, they support private sector companies, federal, state, and local agencies globally with missions including wildfire mapping, disaster response, law enforcement, border security, maritime domain awareness, and tactical intelligence. About the Role Join the team to build, maintain, and optimize end‑to‑end data and model pipelines that power core Artificial Intelligence systems. This is a hands‑on role for an ambitious engineer passionate about taking raw data through the entire lifecycle from scraping to production‑ready trained models. Key Responsibilities Design and improve training pipelines for 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 Label quality validation and dataset management Data exploration for targeted labeling Develop evaluation and tests reflecting real‑world operating conditions Improve synthetic data workflows for targeted model improvement Train, evaluate, and iterate on computer vision models for detection, segmentation, classification, and tracking Work with transformer and multi‑modal architectures where appropriate Explore and evaluate new model families and research directions Domain‑specific optimizations for aerial imagery and small‑object detection Incorporate multi‑modal inputs including multiple image bands, platform, and sensor metadata Optimize models for deployment on embedded GPU platforms like Nvidia Jetson Balance accuracy, latency, and resource constraints for real‑world, real‑time workflows 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 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 and object tracking Strong understanding of model evaluation including selecting metrics, building test sets, analyzing false positives/negatives, and measuring performance over time Experience with PyTorch or TensorFlow Strong understanding of modern computer vision architectures: CNNs, transformers (ViTs), and/or multi‑modal 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 Qualifications 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 What We Offer Growth Opportunities: Learn by doing and shape the future of a true startup Impact Opportunity: Work on missions that matter without bureaucracy Team Collaboration: Fast‑paced, collaborative environment with open‑door leadership Late Start Wednesday: Weekly focus time away from meetings Time Off: Generous PTO for work‑life balance Holidays: 10 company holidays recognized Ownership: Equity/Stock Options in the company Health Benefits: Medical/Dental premiums 100% covered for employees and families, plus pre‑tax HSA 401K: Employer matching up to 4% of pay Additional Information All applicants must be authorized to work on a permanent basis in the United States Equal opportunity workplace Position may involve access to data/technology subject to U.S. export control laws (ITAR/EAR) Employment contingent upon export compliance assessment We encourage all qualified candidates to apply even if they don't meet every requirement #J-18808-Ljbffr