Senior Machine Learning Engineer, Computer Vision

Senior Machine Learning Engineer, Computer Vision at Overwatch Imaging

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 as an upgrade for airborne video gimbal platforms, brings

Superhuman Visionand Workload Reductionto users of real-time imagery intelligence systems. We fundamentally believe that modern edge processing and AI-enabled autonomy can perform an important set of time-critical imagery intelligence missions better,fasterand moresafely than humans can alone.

Founded in 2016 in Hood River, Oregon, we support private sector companies as well as federal,stateand local agencies around the world with missions ranging from wildfire mapping and disaster response to law enforcement, border security, maritime domainawarenessand tactical intelligence.

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.

• 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
    • Transformer and multi-modal architectures where appropriate
  • Continuously explore and evaluate:
    • new model families and research directions
    • Domain-specific optimizations for aerial imagery, small-object detection
  • Incorporate multi-modal inputs including:
    • Multiple image bands
    • 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

• 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 modelsinproduction or real-world systems, especiallyfor object detection, object tracking
• Strong understanding of model evaluation, including selecting metrics, building test sets, analyzing false positives/false negatives, and measuring performance over timefor iterative improvement

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

• Aerial imagery, geospatial data, or remote sensing
• Photogrammetry
• Multi-modal learning systems
• Familiarity with state estimation and tracking methods (Kalman Filters, DeepSORT, Byte Track, etc)
• Experience with performance languages (C++or similar)

• Growth Opportunities:
  As a team member of a true startup, you will learn by doing and shape our future. The opportunities are limitless for those who want to grow their career.
• Impact Opportunity:
  We work on missions that matter to keep people safe and make the world better, and we do it without bureaucracy at the speed of a startup.
• Team
  
  Collaboration:
  
  Work in a fast-paced, collaborative environment with amazing teammates. The Overwatch Imaging leadership team believes in an open-door policy, meaning everyone has a voice and access to guidance, advice, feedback, and the ability to pitch crazy new products or ideas.
• Late Start Wednesday: A weekly block to have focus time away from meetings and calls. An opportunity to work from home, flex your schedule or self-directed time to focus on training and development.
• Time Off:
  Generous PTO to empower employees to make decisions about work life balance based on work and home needs.
• Holidays:
  Overwatch Imaging recognizes 10 company holidays.
• Ownership:
  Equity/Stock Options in our rapidly growing…