Data Scientist, Reinforcement Learning
About the Role:
The role involves developing and optimizing Reinforcement Learning (RL) models for large-scale applications like customer service, compliance, and Web3 domain reasoning at a leading global blockchain ecosystem. The emphasis is on exploring and assessing advanced algorithms to enhance various AI capabilities within the ecosystem. The ideal candidate should possess a solid theoretical grounding in RL, coupled with strong engineering skills to construct scalable production systems. Responsibilities include driving experimentation, collaborating with different teams, and taking ownership from research to deployment.
Responsibilities:
- Undertake research and development of cutting-edge RL algorithms, with a focus on optimizing and aligning large models.
- Design and implement RL training pipelines, covering aspects such as environment simulation, data generation, and reward function design.
- Implement RL methods to boost AI capabilities like reasoning, planning, and autonomous decision-making.
- Collaborate closely with engineers and researchers to integrate RL solutions into enterprise AI platforms.
- Continuously monitor model performance in production and refine them through iterative training.
Requirements:
- Hold a Master’s degree in Computer Science, Applied Mathematics, Machine Learning, or a related field.
- Have 3+ years of practical experience in RL or AI optimization.
- Proficient in Python programming with expertise in ML frameworks and RL libraries.
- Experienced in large-scale distributed training and optimization.
- Possess a self-driven approach, a strong problem-solving mindset, and excellent communication skills for effective collaboration.
Benefits:
- Opportunity to contribute to the world's leading blockchain ecosystem.
- Collaborate with a diverse team on user-centric, innovative projects in a dynamic environment.
- Engage in fast-paced projects with autonomy and a focus on results.
- Grow professionally with career advancement opportunities and continuous learning.
- Competitive salary and comprehensive company benefits.
- WFH arrangement available, subject to business team requirements.
The company is staunchly committed to providing equal opportunities and believes that a diverse workforce is crucial to its success.
