AI Optimization Specialist

5 days ago

Sydney, New South Wales, Australia beBeeReinforcementLearning Full time $169,920 - $221,345

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.

We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

You will develop and optimize Reinforcement Learning models for enterprise-scale applications including customer service, token reporting, compliance, and Web3 domain reasoning. You will explore and evaluate advanced algorithms including PPO, GRU, DQN, RLHF, RLAIF, and Agentic RL to enhance the capabilities of LLMs, VLMs, and Agentic AI.

The role requires a strong theoretical foundation in Reinforcement Learning—covering policy optimization, reward modeling, and planning—paired with the engineering skills to build scalable production systems. You will take full ownership from research through deployment, driving experimentation with systematic evaluation and benchmarking.

  • Research and develop state-of-the-art Reinforcement Learning algorithms, focusing on large model optimization and alignment techniques.
  • Design and implement Reinforcement Learning training pipelines, including environment simulation, data generation, and reward function design.
  • Apply Reinforcement Learning methods to enhance LLM/VLM/Agentic AI capabilities in reasoning, planning, and autonomous decision-making.
  • Collaborate with engineers and researchers to integrate Reinforcement Learning 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 Reinforcement Learning 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 Role?
  • Shape the future with cutting-edge technology and innovative projects.
  • Collaborate with world-class talent in a dynamic and inclusive work environment.
  • Tackle unique, fast-paced challenges with autonomy and creativity.
  • Thrive in a results-driven workplace with opportunities for growth and continuous learning.
  • Competitive compensation and benefits package.

We are committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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