Audio Inference Engineer, Model Efficiency
Tasks
- Collaborate with serving infrastructure teams
- Collaborate with training infrastructure teams
- Develop real time and streaming audio inference systems
- Identify serving bottlenecks
- Improve audio inference quality
- Integrate model development and deployment
- Optimize audio model serving latency
- Optimize audio model throughput
Perks/Benefits
- Co-working stipend
- Health and dental benefits
- Inclusive culture
- Mental health budget
- Parental leave top-up
- Remote-flexible
- Vacation (6 weeks)
- Weekly lunch stipend
Skills/Tech-stack
C++ | Deep learning | Distributed inference | GPU Programming | Low-level system | Low-level system optimization | Model Parallelism | PyTorch | Python | Real Time | Real-time Streaming | SGLang | Sequence Modeling | System Optimization | TensorFlow | TensorRT-LLM | Transformers | VLLM
Education
N/A
Regions
Countries
States
Cities
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