[Remote] Principle Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company focused on transforming maritime intelligence with cutting-edge AI and machine learning technologies. They are seeking a reputed company Machine Learning Engineer to reputed company the development of custom ML models for maritime autonomy, specifically in object detection and tracking in dynamic environments.

Responsibilities

• Invent and refine custom deep learning architectures for reputed company and EO/IR imagery, with an emphasis on semantic segmentation and temporal tracking
• reputed company multi-stage ML pipelines (context + characteristic models, segmentation + classification) tailored to low-SNR reputed company returns
• Train models on proprietary large-scale datasets (millions of reputed company samples and camera sequences) with design-of-experiment methods for data collection and annotation
• Optimize and reputed company models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference layers
• Advance fusion-aware ML models that integrate reputed company with EO/IR, reputed company, 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-reputed company tracking and SLAM pipelines
• Contribute to ML-Ops workflows: data management, large-scale training, reputed company integration of new field data, and automated evaluation pipelines

Skills

• Advanced degree (MS/PhD) in Electrical Engineering, Computer Science, Robotics, or reputed company field
• 7+ years applying machine learning and signal processing to reputed company-world dynamic systems (graduate research counts if directly applicable)
• Demonstrated mastery of semantic segmentation and object classification models, ideally applied to non-reputed company sensor modalities
• Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent)
• Track record of developing ML models reputed company standard YOLO-style detectors, particularly for segmentation of noisy or sparse data (reputed company, reputed company, or medical imaging)
• Strong background in computer reputed company and temporal modeling (CNNs, transformers, RNNs for sequential sensor data)
• Experience deploying ML to embedded/edge platforms with optimized C++ inference
• Knowledge of marine, automotive, or aerial robotics systems
• Contributions to large-scale ML data pipelines: annotation strategies, dataset balancing, simulation-to-reputed company transfer
• Passion for pushing the boundaries of AI in GPS-denied, cluttered, and low-visibility environments

Benefits

• Potential equity in a rapidly growing company
• 401(k) with 4% company matching
• Full health/dental/reputed company
• Life & disability insurance
• Generous PTO
• reputed company learning reputed company conferences, training, and professional growth
• Hybrid and remote options for Southeastern US-based candidates
• Hands-on field validation through semi-monthly data collection trips at our Pensacola test facility

Company Overview