Tocaro Blue is a company focused on transforming maritime intelligence through advanced AI and machine learning. They are seeking a Senior Machine Learning Engineer to design, train, and deploy custom ML models that enhance maritime autonomy, particularly in object detection and tracking in challenging environments.
Responsibilities:
- Build ML models for object detection, semantic segmentation, and tracking
- Design algorithms capable of distinguishing vessels, land, shoreline constructions, wakes, and markers in dynamic maritime environments
- Organize dataset design, data collection in real and simulated environments, and synthetic augmentation of radar and camera datasets
- Invent and refine custom deep learning architectures for Radar and EO/IR imagery, with an emphasis on semantic segmentation and temporal tracking
- Develop multi-stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR Radar returns
- Train models on proprietary large-scale datasets (millions of Radar samples and camera sequences) with design-of-experiment methods for data collection and annotation
- Optimize and deploy models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference layers
- Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and cartography for robust classification in GPS-denied or cluttered environments
- Collaborate with fusion and autonomy engineers to ensure ML outputs integrate seamlessly into multi-target tracking and SLAM pipelines
- Contribute to ML-Ops workflows: data management, large-scale training, continuous integration of new field data, and automated evaluation pipelines