AI Optimization Specialist

1 week ago

Melbourne, Victoria, Australia beBeeReinforcement Full time $140,000 - $170,000
About Us

We are a leading blockchain ecosystem, shaping the future with innovative solutions.

As a highly skilled Reinforcement Learning expert, you will join our global organization and contribute to cutting-edge AI projects.

Your Role

In this challenging role, you will develop and optimize Reinforcement Learning models for enterprise-scale applications.

You will work closely with world-class talent in a user-centric environment, tackling unique, fast-paced projects with autonomy.

  • 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.
About This Opportunity

This is an exciting chance to shape the future with a forward-thinking organization, working alongside talented professionals who share your passion for innovation.

You will have the opportunity to drive experimentation with systematic evaluation and benchmarking, pushing the boundaries of what is possible with AI.

In return, you can expect a dynamic work environment with opportunities for career growth and continuous learning.

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