Deep Learning Engineer II (Multiple Positions) (REF286216I)
Core
Research and advanced development of innovative signal processing and deep learning systems for sensor signals (audio, vibration, radar, lidar) and AI systems with large language models for agentic workflows.
Role type
Deep Learning Engineer II (Signal Processing & Multimodal AI)
Builds
Embedded AI solutions, multimodal retrieval-augmented generation applications, agentic workflow automation systems
Domain
Automotive/Industrial IoT, Signal Processing, Deep Learning, Multimodal AI
Deliverable
production ML models | product features
Required skills
Deep learning, signal processing, Python, PyTorch, Lightning, MLFlow, Numpy, Scipy, Matplotlib
Preferred skills
Experience with acoustic and vibration signals, LLM integration, multimodal data handling
Technologies
PyTorch, Lightning, MLFlow, Numpy, Scipy, Matplotlib
Responsibilities
Develop algorithms to interpret sensor signals (audio, vibration, radar, lidar), create multimodal retrieval-augmented generation applications, manage AI system development integrated with large language models, collaborate on embedded platform deployment
Seniority
Mid-level IC (3+ years experience)