Senior Machine Learning Engineer
Core
Architect, design, deliver, and support next-generation autonomous maritime and air vehicles using unsupervised autonomy and machine learning-based sensor processing.
Role type
Senior Machine Learning Engineer (Autonomous Systems)
Builds
Un-crewed maritime and air domain systems (e.g., XL-AUV) with perception and data pipelines
Domain
Defense/Aerospace, Autonomous Vehicles, Computer Vision
Deliverable
production ML models
Required skills
Machine learning lifecycle management, ML Operations (MLOps), Computer vision, Data curation and labeling, Model validation and verification, Cross-functional system integration, Mentoring
Preferred skills
Workflow management tools (Flyte, Airflow, Kubeflow), Deep learning frameworks (PyTorch), Edge ML applications, Inference engines (TensorRT), C++/Go/Python/Rust, Data traceability
Technologies
PyTorch, TensorRT, Flyte, Airflow, Kubeflow, C++, Go, Python, Rust
Responsibilities
Lead design and development of ML models for perception and data pipelines; Develop software to automate the ML lifecycle; Manage model selection, training, validation, and deployment; Manage training data sourcing and quality; Develop tools for ML in classified environments; Collaborate with cross-functional teams for system integration
Seniority
Senior, hands-on IC with mentoring responsibilities
