AI Trading Systems Scientist Internship (Remote)

Binance; Singapore; On-site; SGD 15,000 - 21,000; Full time

Benefits offered by this job

Work-from-home available

Job summary

Binance Accelerator Program (BAP) offers a 3-6 month internship for Early Career talent to gain firsthand experience in the digital assets space. You will work with AI-powered trading agent systems, perform post-training of large-language models, and help build datasets while collaborating with senior engineers.

Current university students or recent graduates are invited to apply, with a 6-month minimum commitment and full-time schedule. Remote work options may be available depending on the team.

Qualifications

• Bachelor’s, Master’s, or Ph.D. in Computer Science, AI, Financial Engineering, Automation, or related field.
• Hands-on experience with post-training techniques such as SFT and RLHF/RLAIF.
• Familiar with PyTorch or TensorFlow and transformers toolkits (Hugging Face, DeepSpeed, vLLM).

Responsibilities

• Leveraging knowledge of large-scale models and intelligent agents, participate in the design and development of a series of AI-powered financial trading agency skills based on Web3 data, and integrate them into practical systems.
• Perform post-training of large-scale language models (SFT, RL, etc.) to enhance the model's ability to utilize Binance's internal trading skills.
• Assist in building and maintaining benchmark datasets to evaluate the performance of AI systems, and assist in building and iterating workflow prototypes for financial AI agent systems.
• Work closely with senior engineers to complete system design, integration, and deployment.

Skills

SFT

RLHF/RLAIF

PyTorch

Communication

Fast learner

Education

CS/AI/FinEng/Automation degree

Tools

Llama Factory

Slime

Verl

OpenRLHF

Job description

Binance Accelerator Program (BAP) offers a 3-6 month internship for Early Career talent to gain firsthand experience in the digital assets space. You will work with AI-powered trading agent systems, perform post-training of large-language models, and help build datasets while collaborating with senior engineers.

Current university students or recent graduates are invited to apply, with a 6-month minimum commitment and full-time schedule. Remote work options may be available depending on the team.