Senior ML Engineer / ML Lead
Tasks
- Develop ML architecture for trading strategies
- Eliminate execution strategy bottlenecks
- Identify data pipeline bottlenecks
- Implement ML research hypotheses into production
- Monitor real world model performance
- Refine ML models to improve effectiveness
- Write high-performance production code
Perks/Benefits
Skills/Tech-stack
Algorithmic trading | Data Processing | High Performance | High-Performance Computing | JAX | Machine Learning | Mathematics | NumPy | Numba | Performance Computing | Probability | PyTorch | Python | Statistics
Education
N/A
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