LLM Engineer
We have a current opportunity for a LLM Engineer on a permanent basis. The position will be based in Beijing. For further information about this position please apply.
LLM Engineer
Beijing
Description
We are seeking an LLM Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced machine learning models, particularly focused on natural language processing (NLP) using large language models (LLMs). The role offers a unique opportunity to work on cutting-edge technologies and algorithms that directly impact our investment strategies.
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
Requirements
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
FAQs
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