LLM Engineer (CHINA)

• Design, implement, and fine-tune systems incorporating large language models (LLMs) and other advanced artificial intelligence techniques for a variety of applications, including sentiment analysis, news aggregation, market predictions and data cleaning
• Work with vast datasets, including structured and unstructured data, to train models that generate insights and forecasts critical to investment strategies
• Continuously enhance the performance and efficiency of LLMs, ensuring that models are both scalable and resource-efficient
• Partner with portfolio quant researchers to develop models that address specific market opportunities and challenges
• Stay abreast of the latest NLP and LLM developments, contributing to internal thought leadership and pushing the envelope of what can be achieved
• Deploy machine learning models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds
• Identify potential risks related to LLMs and ensure appropriate safeguards are in place, especially with regard to model bias and robustness

• Minimum 2 years of hands-on experience working with LLMs, NLP or deep learning in a high-performance environment

• Experience working with large-scale datasets and deploying machine learning models in production
• Knowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models))
• Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI)
• Strong understanding of algorithmic trading and financial data is a plus
• Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions

• Competitive salary plus bonus based on performance
• Collaborative, casual, and friendly work environment
• Pre-tax commuter benefit
• Weekly company meals

Trexquant Investment