Binance is seeking Early Career Talent for its Accelerator Program in Singapore. Interns will gain hands-on experience tackling research challenges in LLM reasoning applied to global crypto markets. The role emphasizes independent thinking and collaboration with senior scientists. Candidates must be pursuing a Master's or PhD in a related field by 2026-2028. The successful applicant will collaborate on experiments that influence production systems, engage in literature reviews, and apply cutting-edge machine learning tools. A competitive salary and flexible working arrangements are offered.
Qualifications
Currently pursuing a Master's or PhD in a related field is strongly preferred.
Expected graduation in 2026, 2027, or 2028.
Strong comfort with vibe coding using AI-assisted development tools.
Responsibilities
Contribute to the design and execution of experiments in reasoning model training.
Review and synthesize recent academic literature at major conferences.
Implement model variants, training procedures, and evaluation protocols.
Skills
Python programming skills
PyTorch proficiency
C++ or Rust exposure
Education
Master’s or PhD in Machine Learning, Computer Science, Mathematics
Tools
Weights & Biases
Hugging Face
Job description
Binance is seeking Early Career Talent for its Accelerator Program in Singapore. Interns will gain hands-on experience tackling research challenges in LLM reasoning applied to global crypto markets. The role emphasizes independent thinking and collaboration with senior scientists. Candidates must be pursuing a Master's or PhD in a related field by 2026-2028. The successful applicant will collaborate on experiments that influence production systems, engage in literature reviews, and apply cutting-edge machine learning tools. A competitive salary and flexible working arrangements are offered.