AI Scientist / Senior AI Scientist / Principal AI Scientist

Basic Qualifications

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Finance, or a related field, or equivalent practical experience.
• At least 5 years of professional experience developing AI or quantitative trading systems using Python.
• Strong expertise in machine learning, deep learning, statistical modeling, and time-series forecasting.
• Proficiency in Python and common data science libraries such as NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, or JAX.
• Experience working with large-scale financial or market datasets.

Preferred Qualifications

• 2+ years of experience leading AI or quantitative research initiatives.
• Experience developing systematic trading strategies, alpha models, or portfolio optimization frameworks.
• Strong understanding of financial markets, including equities, futures, options, cryptocurrencies, or FX.
• Experience with high-frequency trading (HFT), market microstructure, or execution algorithms is a plus.
• Familiarity with LLMs, reinforcement learning, or AI agents for financial applications.
• Experience with backtesting frameworks, factor research, and quantitative risk management.
• Publications in leading AI or quantitative finance conferences/journals (e.g., NeurIPS, ICML, ICLR, KDD, AAAI, Quantitative Finance) or contributions to well-known open-source projects are preferred.

Technical Skills

• Python (5+ years)
• PyTorch / TensorFlow / JAX
• SQL
• Linux
• Git
• Docker
• CUDA (preferred)
• AWS / GCP / Azure (preferred)
• Experience with distributed computing (Ray, Spark, Dask, etc.)

Nice to Have

• Experience in cryptocurrency quantitative trading.
• Experience with market making, statistical arbitrage, or CTA strategies.
• Familiarity with reinforcement learning, transformers, diffusion models, or AI-driven trading agents.
• Experience deploying AI models into live trading environments with low latency and high reliability.