Deep Learning Researcher

Product team in DeFi and algorithmic trading seeks a Deep Learning Researcher to develop production ML/DL models for time-series analysis and financial market forecasting. Hybrid office in central Moscow; salary paid in stablecoins.

Product team in DeFi and algorithmic trading is looking for a Deep Learning Researcher to help develop and implement production ML/DL models for time-series analysis and forecasting financial market behavior. They are interested in specialists who have already built and launched time-series forecasting models in production and want to apply their experience to quantitative finance, crypto markets, and algorithmic trading. Responsibilities: - Develop and implement production ML/DL models for time-series analysis and forecasting. - Research and apply modern Deep Learning architectures for forecasting and sequential modeling. - Analyze large volumes of historical and streaming data. - Experiment with new architectures, features, and model training methods. - Optimize model quality and robustness in production. - Collaborate with the Quant Research team on applying ML models to capital management and trading strategies. - Monitor modern research in Deep Learning, Time Series Forecasting, and AI.

Requirements: - Higher education from one of the strong technical universities. - 2+ years of commercial experience as an ML Engineer / Deep Learning Engineer / ML Researcher / Data Scientist. - Experience developing and deploying production ML/DL models for time series. - Experience developing production ML/DL solutions at large technology companies will be a significant advantage. - Deep understanding of modern Machine Learning and Deep Learning methods. - Confident proficiency in Python. - Practical experience with PyTorch, Scikit-Learn, CatBoost, LightGBM/XGBoost, and Optuna. - Experience with time series, feature engineering, and model quality evaluation. - Team communicates in Russian; English at the level of reading technical documentation and research papers.

Conditions: - Office in the very center of Moscow (near Okhotny Ryad / Teatralnaya / Chekhovskaya / Pushkinskaya metro stations). - Schedule: hybrid; remote work is possible for Senior specialists. - Salary is paid in stablecoins.