Senior Machine Learning Engineer

About the role

On-site senior ML role advancing maritime autonomy through radar/camera perception, object detection, segmentation, tracking, sensor fusion and edge deployment. Requires an advanced degree and 7+ years ML/signal-processing experience (graduate research counts). DoD-clearance eligibility and no work-visa sponsorship are stated.

Requirements

• MS/PhD in electrical engineering, computer science, robotics or related field
• 7+ years applying ML and signal processing to real-world dynamic systems; graduate research counts if directly applicable
• Mastery of semantic segmentation and object classification
• Expert Python and TensorFlow/Keras or PyTorch
• Preferred CV and temporal modeling, embedded edge deployment and optimized C++ inference
• All employees must be eligible to obtain DoD clearance; typically U.S. citizens or permanent residents
• Employer cannot sponsor work visas or permanent-resident cards

What you'll do

• Design and train custom radar/EO-IR deep-learning models for segmentation, classification and tracking
• Design datasets, real/simulated data collection and synthetic augmentation
• Optimize models for CPU-only and ARM64 edge platforms with C++ inference
• Fuse radar, cameras, AIS and maps in difficult/GPS-denied environments
• Integrate ML into tracking, SLAM and autonomy pipelines
• Contribute to large-scale training and automated ML evaluation

Where this was posted

• LinkedIn

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