Senior ML Engineer (Token Factory)
Tasks
- Analyze performance sharding and kernels
- Apply CI CD version control and unit testing
- Build JAX training and evaluation pipelines
- Collaborate with engineering and research teams
- Develop fine tuning methodologies
- Develop scaling laws for model development
- Experiment with model architectures
- Implement low precision training and inference
- Improve language model inference performance
- Optimize model quality and training efficiency
- Train models in distributed environments
- Translate research into production systems
Perks/Benefits
- Career growth
- Continuous learning opportunities
- Flexible working environment
- High degree of ownership
- International environment
- Opportunity for impactful projects
- Supportive inclusive workplace
Skills/Tech-stack
CI/CD | Custom Kernels | Deep learning | Distributed Training | FP8 | FSDP | Fine Tuning | Flash Attention | JAX | LoRA | Low Precision | Low-precision training | Machine Learning | Mixture of Experts | Python | Quantization | ROPE | Reinforcement Learning | Sharding | Speculative decoding | Unit Testing | Version control | Zero
Education
N/A
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