Quantitative Developer - AI Implementation at WorldQuant

Core benefits include fully paid medical and dental insurance for employees and dependents, flexible spending account, 401(k), fully paid parental leave, and generous PTO with unlimited sick days.

Candidates need at least 2 years of experience training AI, ML, reinforcement learning models, hands-on experience building complex software systems, excellent knowledge of Python, NumPy and Pandas, and experience with at least one of XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, or CVXPY. C++ knowledge and graduate-level AI research are pluses.

WorldQuant has a culture that pairs academic sensibility with accountability for results, encourages open thinking about problems, balancing intellectualism and practicality, and values excellent ideas from anyone while challenging conventional thinking and continuous improvement.

This information is not specified in the job description.

Strong candidates have at least 2 years of hands-on AI/ML experience, proficiency in Python with NumPy and Pandas, experience with ML frameworks like PyTorch or TensorFlow, the ability to explain and defend models to stakeholders, and ideally graduate-level AI research or C++ knowledge.