В Binance можно работать с актуальными LLM- и reinforcement learning-инструментами в заметной AI- и криптосфере, но обязательство на шесть месяцев и отсутствие данных о зарплате мешают оценить условия.
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Зарплата не указанаОбязательство на полгодаСовременный стекAI и крипто
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TL;DR
Binance Accelerator Program - Data Scientist (LLM & Trading) (LLM/Web3/Trading): Designing and developing AI-powered financial trading agent skills based on Web3 data with an accent on large-scale language models, post-training, and practical system integration. Focus on fine-tuning LLMs with SFT and reinforcement learning, building benchmark datasets, and integrating workflow prototypes with production systems.
Location: Singapore; work-from-home may be available depending on the business team's work arrangement.
Company
Binance operates a global blockchain ecosystem covering cryptocurrency trading, finance, payments, education, research, and institutional digital-asset services.
What you will do
Design and develop AI-powered financial trading agent skills using Web3 data.
Integrate trading-agent capabilities into practical financial systems.
Perform post-training of large language models using supervised fine-tuning and reinforcement learning.
Build and maintain benchmark datasets for evaluating AI system performance.
Prototype and iterate workflows for financial AI agent systems.
Collaborate with senior engineers on system design, integration, and deployment.
Requirements
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 Supervised Fine-Tuning, RLHF, or RLAIF.
Familiarity with Llama Factory, Slime, Verl, OpenRLHF, or similar fine-tuning and reinforcement learning frameworks.
Experience with at least one deep learning framework, such as PyTorch or TensorFlow.
Familiarity with LLM training and evaluation tools including Hugging Face Transformers, DeepSpeed, or vLLM.
Availability for at least 6 months, working 5 days per week, with strong communication skills and willingness to learn quickly.
Culture & Benefits
Work in a user-centric, global organization with a flat structure.
Handle fast-paced projects with autonomy in an innovative environment.
Access opportunities for career growth and continuous learning.
Competitive compensation and company benefits.
Work-from-home arrangements may be available depending on the role and business team.
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