Binance Accelerator Program - Data Scientist (LLM & Trading)

Binance
Singapore, Asia, Hong Kong, Taiwan
Workplace: RemoteInternshipFunction: Data Science & Machine LearningSkills: ["Communication","Willingness to learn"]

Develop AI-powered financial trading agent skills using Web3 data, and integrate them into practical systems. Contribute to post-training large language models (SFT and RLHF/RLAIF) to better utilize internal trading skills. Build and iterate benchmark datasets and workflow prototypes to evaluate AI system performance. Work with senior engineers on system design, integration, and deployment throughout the 3–6 month accelerator.

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FursaFursa
Binance
Binance
5 months ago

Binance Accelerator Program - Data Scientist (LLM & Trading)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Develop AI-powered financial trading agent skills using Web3 data, and integrate them into practical systems. Contribute to post-training large language models (SFT and RLHF/RLAIF) to better utilize internal trading skills. Build and iterate benchmark datasets and workflow prototypes to evaluate AI system performance. Work with senior engineers on system design, integration, and deployment throughout the 3–6 month accelerator.
Location: Singapore, Asia, Hong Kong, Taiwan
Workplace: Remote
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Design and develop AI-powered financial trading agency skills using Web3 data and integrate them into practical systems.
  • •Perform post-training of large-scale language models (SFT, RL, etc.) to enhance model use of internal trading skills.
  • •Build and maintain benchmark datasets to evaluate AI system performance.
  • •Build and iterate workflow prototypes for financial AI agent systems.
  • •Collaborate with senior engineers to complete system design, integration, and deployment.

Key Requirements

  • •Currently pursuing or holding a Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Financial Engineering, Automation, or a related field.
  • •Hands-on experience with post-training techniques including Supervised Fine-Tuning (SFT) and reinforcement learning (RLHF / RLAIF).
  • •Familiarity with fine-tuning and reinforcement learning frameworks such as Llama Factory, Slime, Verl, and OpenRLHF.
  • •Experience with mainstream deep learning frameworks (PyTorch, TensorFlow) and LLM training/evaluation toolkits (Hugging Face Transformers, DeepSpeed, vLLM, etc.).
  • •Excellent communication skills and ability to commit at least 6 months, working 5 days a week.
Experience:Web3Digital assets
Skills:CommunicationWillingness to learn
Tech Stack:Web3Supervised Fine-TuningSFTRLHFRLAIFLlama FactorySlimeVerlOpenRLHFPyTorchTensorFlowHugging Face TransformersDeepSpeedVLLM

Company Brief

Binance
Operates one of the world’s largest cryptocurrency exchanges, offering spot and derivatives trading, a native token (BNB), wallet services, staking, and a broad suite of crypto financial products and infrastructure.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: Bootstrapped
Headquarters: George Town, Cayman Islands
Founded: 2017
WebsiteLinkedIn