Senior Machine Learning Engineer, Computer Vision

Overwatch Imaging is an imagery intelligence technology company that focuses on sensor autonomy for airborne missions. They are seeking a Senior Machine Learning Engineer specialized in Computer Vision to build, maintain, and optimize data and model pipelines for their AI systems.

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
• 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
• 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.)
• 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 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
• 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