Data Scientist, Reinforcement Learning - Remote

Overview

The Data Scientist, Reinforcement Learning at Binance will focus on developing and optimizing reinforcement learning (RL) models for enterprise-scale applications, enhancing AI capabilities in various domains.

In Short

• Develop and optimize RL models for applications like customer service and compliance.
• Explore advanced algorithms such as PPO, GRPO, and RLHF.
• Build scalable production systems for RL applications.
• Collaborate with cross-functional teams to deliver AI solutions.
• Monitor and improve model performance in production.
• Research state-of-the-art RL algorithms.
• Design RL training pipelines.
• Apply RL methods for reasoning and planning.
• Strong theoretical foundation in RL required.
• 3+ years of experience in RL or AI optimization.

Requirements

• Master’s degree in Computer Science, Applied Mathematics, or related fields.
• 3+ years of hands-on experience in RL or AI optimization.
• Strong coding skills in Python.
• Experience with ML frameworks and RL libraries.
• Experience with large-scale distributed training.
• Self-driven and strong problem-solving skills.
• Excellent communication skills for collaboration.

Benefits

• Work with a leading global blockchain ecosystem.
• Be part of a team trusted by over 280 million users.
• Opportunities for professional development in AI.
• Engage in impactful projects in the blockchain space.