Senior ML Engineer (Token Factory)
Tasks
- Analyze GPU performance constraints
- Apply hardware aware optimizations
- Build low precision inference pipelines
- Build low precision training pipelines
- Design distributed inference systems
- Design distributed training systems
- Develop custom kernels
- Develop inference engines
- Implement CI/CD pipelines
- Implement sharding strategies
- Implement testing practices
- Improve KV cache performance
- Optimize LLM inference performance
- Profile GPU workloads
Perks/Benefits
- Career development
- Collaborative culture
- Continuous learning
- Flexible work environment
- High autonomy
- International diverse team
- Ownership
Skills/Tech-stack
Attention Mechanism | CUDA | Custom Kernels | Distributed Training | FP8 | Flash Attention | GPU Profiling | Inference Optimization | KV cache | Language Models | Large Language Models | MXFP4 | Nsight | PyTorch | Python | Quantization | ROPE | Sharding | Speculative decoding | Training Pipeline | Transformer
Education
N/A
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