Autonomy Engineer - Deep Learning Model Acceleration
San Mateo, California, United States
USD 170K-277K Senior-level Full Time
Tasks
- Build deep learning inference infrastructure
- Deploy models monitor and retrain models
- Design SDKs for autonomous machine learning workflows
- Design and implement MLOps workflows
- Develop training efficiency methods
- Implement GPU kernels for optimized inference
- Improve power efficiency of deep learning workloads
- Optimize inference for low latency high throughput
- Profile model performance identify bottlenecks
- Scale deep learning inference for computer vision
- Uphold engineering standards
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Preparation | Deep learning | Edge Deployment | GPU Kernels | Image Segmentation | Inference Optimization | Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Object Detection | Optical Flow | Performance Profiling | Power efficiency | Retraining | Security Compliance | Training Efficiency | Video Processing | Vision Language Models | Vision-language
Education
N/A
Regions
Countries
States
Cities
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