AI Research Engineer (Kernel & Inference Optimization)
Tasks
- Conduct inference experiments and benchmarking
- Create testing datasets and deployment scenarios
- Design model serving architectures
- Develop scalable inference pipelines
- Identify and resolve serving bottlenecks
- Improve inference infrastructure through experimentation
- Integrate optimized inference solutions into production
- Monitor and analyze performance metrics
- Optimize inference frameworks and deployment strategies
- Optimize model inference latency and throughput
Perks/Benefits
- Collaborative international team
- Continuous learning and professional development
- Flexible location options
- Fully remote work
- High impact technical ownership
- Technical autonomy
Skills/Tech-stack
Benchmarking | Cloud Computing | Edge Computing | Inference Optimization | Latency optimization | Machine Learning | Memory Optimization | Model Deployment | Model Serving | Network Overhead Analysis | Overhead Analysis | Performance Monitoring | Profiling | Resource-constrained systems | Scalability | Throughput Optimization
Education
N/A
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