Senior Machine Learning Engineer, Computer Vision

About Overwatch Overwatch Imaging is an imagery intelligence technology company working to bring sensor autonomy to time‑critical airborne search, detection, tracking and monitoring missions. Our Automated Sensor Operator (ASO) software, native to our own line of purpose‑built Smart Sensors and an upgrade for airborne video gimbal platforms, brings Superhuman Vision and Workload Reduction to users of real‑time imagery intelligence systems. We fundamentally believe that modern edge processing and AI‑enabled autonomy can perform important time‑critical imagery intelligence missions better, faster and more safely than humans alone. Founded in 2016 in Hood River, Oregon, we support private sector companies as well as federal, state and local agencies around the world with missions ranging from wildfire mapping and disaster response to law enforcement, border security, maritime domain awareness and tactical intelligence. About This Role 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. The 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 data indexing, curation, and preprocessing Label quality validation and dataset management 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 detection, segmentation, classification, tracking Investigate transformer and multi‑modal architectures where appropriate Continuously explore new model families and research directions Apply domain‑specific optimizations for aerial imagery and small‑object detection Incorporate multi‑modal inputs including multiple image bands and platform/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‑time workflows Core Experience 5+ years of experience in machine learning, focusing 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 and 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 such as CNNs, transformers (ViTs), and/or multi‑model systems Experience with OpenCV, NumPy, or similar libraries Experience building training and data pipelines for medium to large‑scale datasets Strong Python skills and solid software engineering fundamentals Bonus Background in aerial imagery, geospatial data, or remote sensing Photogrammetry experience Multi‑modal learning systems experience Familiarity with state estimation and tracking methods (Kalman Filters, DeepSORT, ByteTrack, etc.) Experience with performance languages such as C++ Model deployment onto Nvidia Jetson based edge hardware What We Offer Growth opportunities: Learn by doing and shape our future Impact opportunity: Work on missions that matter to keep people safe and make the world better without bureaucracy Team collaboration: Fast‑paced, collaborative environment with open‑door policy Late Start Wednesday: Weekly block for focused self‑directed time to train and develop Generous PTO and flexible schedule Company holidays and equity/stock options Health benefits: Medical and dental premiums 100% covered for employees and families, pre‑tax health savings account available 401(k): Employer matching contributions up to 4% of pay All applicants must be authorized to work on a permanent basis in the United States. Overwatch Imaging is an equal opportunity workplace and makes employment decisions based on merit and business needs, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, Veteran status, or any other protected personal characteristic. We encourage all qualified candidates to apply, even if they do not meet every requirement listed in this job description. We value diversity of experience and perspectives and are always looking for talented individuals to join our team. Export Control Compliance Notice - 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). 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. #J-18808-Ljbffr