
Ai Researcher
2 weeks ago
Job Title: AI Researcher - Reinforcement Learning
About the Role
We are seeking an exceptional AI researcher to join our team and contribute to the development of cutting-edge reinforcement learning (RL) algorithms.
You will design, develop, and optimize RL models for large-scale applications in customer service, token reporting, compliance, and Web3 domain reasoning.
Explore and evaluate advanced algorithms including PPO, GRPO, DPO, RLHF, RLAIF, and Agentic RL to enhance the capabilities of LLMs, VLMs, and Agentic AI.
Take full ownership from research through deployment, driving experimentation with systematic evaluation and benchmarking.
The ideal candidate has a strong theoretical foundation in RL, covering policy optimization, reward modeling, and planning, paired with the engineering skills to build scalable production systems.
Responsibilities
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.
Benefits
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 (dependent on work nature).
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