AI/ML Engineer
Core
Build intelligent systems and predictive ML models for real-time quantitative trading strategies, from idea generation to execution.
Role type
Senior IC machine-learning engineer (quantitative finance)
Builds
Intelligent agents, predictive models, and data pipelines for live trading strategies
Domain
Quantitative finance + machine learning
Deliverable
production ML models
Required skills
Python, NumPy, pandas, scikit-learn, supervised learning, time series modeling, neural networks
Preferred skills
LLMs, agentic systems, RAG, fine-tuning, reinforcement learning, portfolio optimization, algorithmic trading infrastructure
Technologies
Python, Jupyter, LangChain, Transformers, OpenAI APIs
Responsibilities
Design predictive ML models trained on intraday financial data; build data pipelines for large-scale time series and unstructured datasets; architect systems using LLMs for automated research and trading; contribute to intelligent portfolio construction methods; develop internal experimentation frameworks; collaborate with researchers to scale models to production
Seniority
Senior, hands-on IC