Related skills
python pytorch transformers reinforcement learning hugging face📋 Description
- Invent and refine deep learning models to predict market behavior and optimize order execution.
- Analyze large financial datasets with statistics and ML to extract actionable patterns.
- Build architectures and optimizations for trading using LLMs, CV, RL, and distributed training.
- Collaborate with traders, software engineers, and infra to train models and deploy low-latency strategies.
- Conduct experiments, tune hyperparameters, backtest, and evaluate performance in dynamic markets.
- Stay at the cutting edge with PyTorch and Hugging Face; contribute to internal libraries.
🎯 Requirements
- PhD or Masters in CS, ML, Stats, Physics, Math, or related quantitative field.
- Strong research track record in deep learning, AI, or quantitative modeling.
- Proficiency in probability, statistics, time-series, NLP, pattern recognition, and ML frameworks (PyTorch, TensorFlow).
- Experience with Python, C++, or similar languages.
- Familiarity with data-driven research environments, large/noisy datasets, and distributed computing.
- Intellectual curiosity, rigor, and passion for applying AI to real-world problems in low-signal-to-noise environments.
🎁 Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth
- Various team-building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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