Senior ML Engineer (Token Factory)
Tasks
- Apply CI CD and software engineering best practices
- Build training and evaluation pipelines
- Collaborate and communicate technical direction
- Develop fine tuning methodologies
- Develop scaling laws
- Experiment with model architectures
- Implement distributed training across GPU clusters
- Improve model inference performance
- Investigate low precision training and inference
- Optimize model quality and training efficiency
- Optimize sharding strategies and kernels
- Translate research into production systems
Perks/Benefits
- Career growth
- Continuous learning
- Flexible working environment
- High ownership
- Inclusive workplace
- International team
- Support during hiring process
Skills/Tech-stack
CI/CD | Custom Kernels | Deep learning | Distributed Systems | Distributed Training | FP8 | Fine Tuning | Flash Attention | GPU Computing | Inference Optimization | JAX | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Natural Language | Natural Language Processing | Python | Quantization | Reinforcement Learning | Sharding | Sharding strategies | Unit Testing | Version control
Education
N/A
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