Senior ML Engineer (Token Factory)
Tasks
- Analyze sharding strategies
- Build training and evaluation pipelines
- Collaborate with engineering and research teams
- Develop custom kernels
- Develop fine tuning methodologies
- Develop scaling laws
- Experiment with model architectures
- Implement distributed training
- Implement speculative decoding
- Improve inference performance
- Improve training efficiency
- Integrate CI/CD
- Investigate low precision inference
- Investigate low precision training
- Maintain version-controlled code
- Optimize model quality
- Translate research to production systems
- Write unit tests
Perks/Benefits
- Career growth
- Flexible working environment
- High degree of ownership
- Inclusive workplace
- International environment
- Support during hiring process
Skills/Tech-stack
Autoregressive models | CI/CD | Custom Kernels | Deep learning | Distributed Training | FP8 | FSDP | Fine Tuning | Flash Attention | JAX | Language Processing | LoRA | Low Precision | Machine Learning | Mixture of Experts | Natural Language | Natural Language Processing | Parallel Models | Python | Quantization | ROPE | Reinforcement Learning | Sharding | Speculative decoding | Supervised Fine Tuning | Unit Testing | Version control | Zero
Education
N/A
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