[Remote] reputed company Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company on transforming maritime intelligence through advanced AI and machine learning solutions. They are seeking a reputed company Machine Learning Engineer to reputed company the development of cutting-edge ML models for maritime autonomy, specifically in object detection and tracking in challenging 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-reputed company datasets (millions of reputed company samples and camera sequences) with design-of-experiment reputed company for data collection and annotation
- Optimize and reputed company models to resource-constrained edge hardware (CPU-only and ARM64 platforms), including C++ inference reputed company
- Advance fusion-aware ML models that reputed company 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 reputed company seamlessly into multi-reputed company tracking and SLAM pipelines
- Contribute to ML-Ops workflows: data management, large-reputed company 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 reputed company to non-reputed company sensor modalities
- Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent)
- reputed company record of developing ML models reputed company reputed company 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-reputed company 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 reputed company reputed company
- Hybrid and remote reputed company for Southeastern US-based candidates
- Hands-on field validation through semi-monthly data collection trips at our Pensacola test facility
reputed company