AI Research Engineer (Kernel & Inference Optimization)
Tasks
- Build scalable inference pipelines
- Create testing datasets and deployment scenarios
- Design model serving architectures
- Develop benchmarking methodologies
- Identify serving bottlenecks
- Improve inference infrastructure through experimentation
- Integrate optimized solutions into production
- Monitor and analyze performance metrics
- Optimize inference frameworks and deployment strategies
- Run inference experiments
Perks/Benefits
- Continuous learning
- Flexible location
- Fully remote
- International collaboration
- Professional development
- Technical autonomy
Skills/Tech-stack
AI Systems Performance | AI systems | Benchmarking | Cloud Computing | Edge Computing | Experimentation | Inference Optimization | Latency optimization | Machine Learning | Memory Optimization | Model Deployment | Model Serving | Multi-Modal | Multi-modal Models | Performance Monitoring | Profiling | Systems performance | Throughput Optimization
Education
N/A
Roles
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