Senior Machine Learning Engineer
Core
Architecting, designing, and deploying machine learning-based sensor processing and technical toolchains for un-crewed maritime and air domain autonomous vehicles.
Role type
Senior Machine Learning Engineer (Autonomous Systems)
Builds
Next generation autonomous vehicles (XL-AUV Program) for defense customers
Domain
Defense technology / Autonomous maritime and air systems
Deliverable
production ML models
Required skills
ML Operations (MLOps), computer vision, data curation, model validation, system integration, mentoring
Preferred skills
Workflow management (Flyte, Airflow, Kubeflow), deep learning frameworks (PyTorch), edge ML, 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
