Role Overview
We are seeking a highly skilled Reinforcement Learning expert to develop and optimize RL models for enterprise-scale applications. The ideal candidate will have a strong theoretical foundation in RL, including policy optimization, reward modeling, and planning, paired with the engineering skills to build scalable production systems.
The role requires full ownership from research through deployment, driving experimentation with systematic evaluation and benchmarking. Collaboration across research, infrastructure, and application teams will be key to delivering impactful AI solutions.
* Research and develop state-of-the-art RL algorithms focusing on large model optimization and alignment techniques.
* Design and implement RL training pipelines, including environment simulation, data generation, and reward function design.
* Apply RL methods to enhance LLM/VLM/Agentic AI capabilities in reasoning, planning, and autonomous decision-making.
* Collaborate with engineers and researchers to integrate RL solutions into enterprise AI platforms.
* Monitor model performance in production and continuously improve through iterative training and fine-tuning.
Requirements:
* Master's degree in Computer Science, Applied Mathematics, Machine Learning, or related fields.
* 3+ years of hands-on experience in RL or LLM/VLM/Agentic AI optimization.
* Strong coding skills in Python, with experience in ML frameworks and RL libraries.
* Experience with large-scale distributed training and optimization.
* Self-driven, ownership mindset, and strong problem-solving skills. Excellent communication skills for cross-functional collaboration.
Why This Opportunity?
You will shape the future with a leading blockchain ecosystem. Collaborate with world-class talent in a user-centric global organization with a flat structure. Tackle unique, fast-paced projects with autonomy in an innovative environment. Thrive in a results-driven workplace with opportunities for career growth and continuous learning. Competitive salary and company benefits. Work-from-home arrangement.
Commitment to Diversity and Inclusion:
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.