Senior Machine Learning Researcher

About the role

Transform Maritime Intelligence with Cutting-Edge AI/ML. As a Senior ML Researcher, you will be the lead architect of Radar (and secondary EO/IR) models for object detection, semantic segmentation, and tracking.

Responsibilities

• Invent and refine custom deep learning architectures for Radar and EO/IR imagery, with an emphasis on semantic segmentation and temporal tracking, not just detection.
• 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.

Qualifications

• Advanced degree (MS/PhD) in Electrical Engineering, Computer Science, Robotics, or related field.
• 7+ years applying machine learning and signal processing to real-world dynamic systems (graduate research counts if directly applicable).
• Demonstrated mastery of semantic segmentation and object classification models, ideally applied to non-vision sensor modalities.
• Expert-level Python skills with ML frameworks (TensorFlow/Keras, PyTorch, or equivalent).

Preferred Expertise

• Track record of developing ML models beyond standard YOLO-style detectors, particularly for segmentation of noisy or sparse data (Radar, sonar, or medical imaging).
• Strong background in computer vision 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-real transfer.
• Passion for pushing the boundaries of AI in GPS-denied, cluttered, and low-visibility environments.

Benefits

Comprehensive benefits: 401(k) with 4% company matching, full health/dental/vision, life & disability insurance, generous PTO.

Schedule

Hybrid/Remote

Pay

$132,000–$160,000 base salary with potential equity in a rapidly growing company.

Equal Opportunity & Eligibility

Tocaro Blue, LLC is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.