Senior Machine Learning Engineer - Edge AI
Tasks
- Apply quantization pruning and distillation for real time inference
- Build performance benchmarking profiling and validation frameworks
- Collaborate with firmware ML research and hardware teams to productize runtime pipeline
- Deploy maintain and validate edge AI models
- Design optimize and deploy computer vision and multimodal ML models on edge platforms
- Drive continuous improvement of edge ML toolchain and best practices
- Mentor peers on efficient inference design
- Optimize inference runtimes latency and memory on constrained hardware
Perks/Benefits
- Comprehensive health plans
- Flexible working model
- Parental leave plans
- Professional development stipend
- Remote work
Skills/Tech-stack
C++ | Computer Vision | Convolutional Neural Networks | Deep learning | Edge AI | Embedded Systems | Knowledge Distillation | Latency analysis | Machine Learning | Memory Management | Model Optimization | Multimodal Machine Learning | Neural Networks | Performance Profiling | Pruning | Python | Quantization | Real Time | Real-time Inference | Streaming Frameworks | Transformers
Education
N/A
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