AI Research Scientist

1 week ago


Singapore beBeeResearch Full time $80,000 - $120,000
About Bitdeer AI Lab

Bitdeer AI Lab is a cutting-edge research institution focused on developing innovative artificial intelligence solutions. Our mission is to transform energy into intelligent systems and push the boundaries of human-level learning efficiency.

We are committed to creating intelligence that learns like humans do – efficiently, adaptively, and recursively. To achieve this goal, we invest heavily in our computational infrastructure, with thousands of state-of-the-art GPUs dedicated to AI research.

Job Summary:

We seek talented individuals to join our team in various areas of AI research, including Large-scale Language Model pre-training, Reinforcement Learning for Reasoning Models, and Advanced AI Systems. The ideal candidate should have a strong background in LLM era and hands-on experience in Large-scale Language Model pre-training, Reinforcement Learning for Reasoning Models, and Advanced AI Systems – Data construction, curation, and engineering for large-scale model training.

Key Responsibilities:
  • Develop and implement large-scale language models
  • Design and optimize reinforcement learning algorithms for reasoning models
  • Engineer data pipelines for large-scale model training
Requirements:
  • Bachelor's, Master's, or PhD degree from any discipline
  • Up to 2 years of related work experience
  • Strong passion for cutting-edge AI technologies and research
  • Impressive personal achievements in academics, research projects, internships, or demonstrated expertise in AI/ML domains
What You Will Experience Working With Us:
  • A culture that values authenticity and diversity of thoughts and backgrounds
  • An inclusive and respectful environment with open workspaces and exciting start-up spirit
  • Fast-growing company with opportunities to network with industrial pioneers and enthusiasts
  • Ability to contribute directly and make an impact on the future of the digital asset industry
  • Involvement in new projects, developing processes/systems
  • Personal accountability, autonomy, fast growth, and learning opportunities
  • Attractive welfare benefits and developmental opportunities such as training and mentoring


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