RL Research Scientist — Financial Markets & Trading

The Voleon Group; Berkeley (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

The Voleon Group seeks a Reinforcement Learning Researcher to join its ML research group in Berkeley, California. The role includes developing innovative research and applying it to financial markets using cutting-edge AI/ML techniques.

Your responsibilities will cover the entire lifecycle of applied research, from developing predictive models to validating solutions in live trading. A Ph.D. in a relevant field and a strong publication record in RL are required. Join a team of experts in a dynamic environment with opportunities for relocation.

Qualifications

• Strong background in reinforcement learning with a publication record in top-tier conferences.
• Evidence of strong mathematical skills through publications, coursework, or competitions.
• Interest in software and willingness to write production-level code in Python.

Responsibilities

• Develop RL research innovations and optimize trading model processes.
• Analyze new datasets for predictive efficacy.
• Implement and validate new models in production environments.
• Conduct experiments to evaluate new model success in trading.
• Collaborate with other researchers and engineers to drive project outcomes.
• Stay current on RL research to explore new applications.

Skills

Reinforcement learning

Mathematical abilities

Software development (Python)

Large-scale computing with GPUs

Research publication

Education

Ph.D. in relevant field

Graduate coursework in RL

Job description

The Voleon Group seeks a Reinforcement Learning Researcher to join its ML research group in Berkeley, California. The role includes developing innovative research and applying it to financial markets using cutting-edge AI/ML techniques.

Your responsibilities will cover the entire lifecycle of applied research, from developing predictive models to validating solutions in live trading. A Ph.D. in a relevant field and a strong publication record in RL are required. Join a team of experts in a dynamic environment with opportunities for relocation.