Machine Learning Engineer
Core
Design and operate end-to-end machine learning systems for in-vehicle audio and infotainment, transforming raw data into production-ready solutions for embedded platforms.
Role type
Machine Learning Engineer (Embedded Systems)
Builds
Production ML models for automotive audio and infotainment systems
Domain
Automotive / Embedded Systems / Audio Processing
Deliverable
production ML models
Required skills
Python, C++, TensorFlow, PyTorch, embedded systems, real-time processing, model optimization (quantization, pruning, distillation)
Preferred skills
None stated
Technologies
ARM processors, GPUs, NPUs, SHARC, DSP architectures
Responsibilities
Deploy ML models on embedded devices; Optimize models for edge hardware; Collaborate to convert research notebooks into robust code; Build end-to-end ML systems including telemetry ingestion and deployment; Implement continuous training and model updates
Seniority
Mid-level (3+ years experience)
