About the Role
As a Staff Machine Learning Engineer, you will lead the development of Edge AI for in-vehicle self-aware health monitoring and prediction.
Description:
Build and train AI Edge models to process unstructured application logs, kernel traces, and multi-modalities.
Integrate ML flows including cloud-based LLM APIs with emphasis on synthetic data creation.
Develop algorithms to automatically cluster log patterns and detect software regressions, race conditions, or crash precursors.
Design unsupervised and supervised learning models to monitor time-series data from CAN bus and on-board sensors.
Benefits
• Build next-generation machine learning systems that impact fleet reliability.• Collaborate with leading developers who have expertise in vehicle software systems.• Work in a fast-paced startup environment where code directly impacts business outcomes.• Lead technical projects from concept to production.
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