1 день назад
Research Scientist/Research Engineer, Reinforcement Learning
200 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Scientist/Research Engineer, Reinforcement Learning (Reinforcement Learning/ML): Building and deploying reinforcement learning systems for financial-market trading with an accent on policy architectures, reward formulations, and rigorous out-of-sample evaluation. Focus on modeling market microstructure, fill dynamics, liquidity, and latency while processing large-scale market data and integrating alpha signals into production trading systems.
Location: Chicago, New York, or London
Annual base salary: $200,000–$350,000 USD
Company
develops research-driven technology for global financial markets, including machine-learning-powered trading systems.
What you will do
- Conduct original reinforcement learning research for financial-market decision-making and trading.
- Design and evaluate policy architectures, reward formulations, and objective horizons using rigorous out-of-sample benchmarking.
- Partner with trading and research teams to source, integrate, and validate alpha signals within reinforcement learning frameworks.
- Model market microstructure, fill dynamics, liquidity, and latency to ensure simulation fidelity against live trading.
- Build tooling to store, process, and analyze large volumes of market and signal data.
- Communicate research findings to technical and trading audiences and take methods from research into production.
Requirements
- 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry or academia.
- Deep expertise in reinforcement learning, including reward formulation, policy architecture, evaluation, and production deployment.
- Proficiency in Python and/or C++.
- Familiarity with PyTorch, TensorFlow, and/or JAX.
- Strong foundation in mathematics and statistics, plus a PhD or Master's degree in Computer Science, Machine Learning, Robotics, or a related field.
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or an equivalent venue; excellent written and verbal communication skills in English.
Culture & Benefits
- Collaborative, team-oriented research environment focused on innovation and challenging technical problems.
- Discretionary bonus eligibility.
- Medical, dental, and vision insurance, with HSA, FSA, and dependent-care options.
- Paid vacation, holidays, parental leave, and wellness programs.
- Retirement plan with employer match and employer-paid group term life and AD&D insurance.
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