AI Reinforcement Learning Model Optimization Specialist

2 weeks ago

Sydney, New South Wales, Australia beBeeData Full time $120,000 - $180,000

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products.

About the Role

Our team seeks a skilled Data Scientist to develop and optimize Reinforcement Learning (RL) models for enterprise-scale applications. The successful candidate will explore advanced algorithms including PPO, GRPO, DPO, RLHF, RLAIF, and Agentic RL to enhance the capabilities of Large Language Models (LLMs), Visual Language Models (VLMs), and Agentic AI.


Key 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:
  • Masters 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?


• Shape the future with the world's leading blockchain ecosystem

• Collaborate with world-class talent in a user-centric global organization

• 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 (the arrangement may vary depending on the work nature of the business team)

This opportunity offers a chance to drive experimentation with systematic evaluation and benchmarking.

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