Senior Machine Learning Engineer – Physical AI

Goddard is seeking a Senior Machine Learning Engineer to own the AI/ML foundation of their physical AI initiative. The ideal candidate will have experience optimizing and deploying models to edge or resource-constrained targets, building and maintaining time-series or sensor data pipelines, and collaborating with embedded software, hardware, and systems engineers.

Requirements

• Design and implement data pipelines for sensor data ingestion, preprocessing, labeling, and curation
• Train, evaluate, and iterate on ML models for applications including signal processing, anomaly detection, and physiological parameter estimation
• Optimize models for deployment on edge and embedded targets
• Deploy models to constrained hardware using TFLite, ONNX, TensorRT, or equivalent runtimes
• Collaborate with embedded software engineers to integrate ML inference into device firmware and software stacks
• Build and maintain MLOps infrastructure
• Work with hardware and systems teams on sensor selection, data collection protocol design, and validation methodology
• Document model development, training procedures, validation results, and known limitations
• Design and execute rigorous model validation

Benefits

• Flexible Time Off
• Retirement Savings
• Health Coverage
• Family Support
• Company Engagement