Skip to main content

Research Scientist - LLM Foundation Models

Binance
Australia
remote
Full Time / Permanent

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. 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.

About the Role

We are seeking a highly skilled Research Scientist/Engineer to advance the reasoning and planning capabilities of large foundation models. In this role, you will enhance model performance across the entire development lifecycle—including data acquisition, supervised fine-tuning (SFT), reward modelling, and reinforcement learning—while driving innovations in reasoning and decision-making. You will synthesise large-scale, high-quality datasets through rewriting, augmentation, and generation techniques to strengthen foundation models during pretraining, SFT, and RL stages. A key part of the role involves solving complex tasks using System 2 thinking and applying advanced decoding strategies such as MCTS and A*. You will design and implement robust evaluation methodologies, teach models to interact with external tools, APIs, and code interpreters, and build agents and multi-agent systems capable of addressing sophisticated real-world problems.

Why Binance

  • Shape the future with the world's leading blockchain ecosystem
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • 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)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply for this job

Posted 18d ago

Applied AI Agent Engineer (Binance Accelerator Program)

Binance
Australia
remote
  • Build AI agent workflows, tool integrations, and production systems
  • Current students and recent graduates, 6+ months commitment
  • LLMs, AI system architecture, backend services, hands-on coding
Posted 18d ago

Associate Machine Learning Engineer

REA Group
Richmond, VIC
hybrid
  • Build ML models for personalised property recommendations and predictions
  • Early career - some hands-on ML, data science or software dev experience
  • Python, ML libraries (Pandas, NumPy, Scikit-learn, PyTorch), cloud tools
Posted 12h ago

EL1 Machine Learning and Artificial Intelligence Senior Lead

Australian Institute of Health & Welfare
Canberra, ACT
  • Lead end-to-end ML/AI lifecycle from design to deployment and monitoring
  • Strong technical foundation in ML, DL, NLP, LLMs required
  • Python, ML/AI deployment, data pipelines, production-grade solutions
Posted 12h ago