Machine Learning Engineer
Core
Build deep-learning models on market data to inform trading decisions, taking ideas from research leads and turning them into production-ready systems.
Role type
Entry-level Machine Learning Engineer (Research & Trading)
Builds
Production ML models for financial trading
Domain
Financial Markets / Quantitative Trading
Deliverable
production ML models
Required skills
Deep learning fundamentals, Python, PyTorch, NumPy, pandas, CUDA, Time-series data handling, Research reproduction
Preferred skills
LLM fine-tuning, Triton, Time-series forecasting
Technologies
PyTorch, NumPy, pandas, AWS, CUDA
Responsibilities
End-to-end ownership of research projects from data to model deployment, Training and optimizing deep-learning models on market data, Managing small-scale GPU infrastructure (local or cloud), Validating models with leakage-proof methods, Reproducing and summarizing academic research, Using AI tools to accelerate development
Seniority
Entry-level, hands-on IC