Research Scientist/Research Engineer, Reinforcement Learning

Requirements

• 5+ years of experience developing reinforcement learning and/or deep learning systems with measurable impact in industry and/or academia
• Depth in reinforcement learning, including experience designing reward formulations, policy architectures, and evaluation, and taking RL methods from research into production
• Proficiency in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
• Strong foundation in mathematics and statistics
• PhD or Master's degree in Computer Science, Machine Learning, Robotics (or a related subject)
• Strong publication record at ICML, ICLR, AAAI, NeurIPS, CVPR, or equivalent
• Ability to thrive in a collaborative, team-oriented environment
• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Reliable and predictable availability
• Excellent written and verbal communication skills in English

What You'll Be Doing

• Conduct original research and own the systems that turn it into production trading
• Design and evaluate policy architectures, reward formulations, and objective horizons with rigorous out-of-sample benchmarking
• Partner with trading and research teams to source, integrate, and validate alpha signals within the RL framework
• Build efficient tooling to store, process, and analyze large volumes of market and signal data
• Communicate findings to technical and trading audiences

Perks and Benefits

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care options
• Employer Paid Group Term Life and AD&D Insurance
• Voluntary Life & AD&D insurance
• Paid vacation plus paid holidays
• Retirement plan with employer match
• Paid parental leave
• Wellness Programs