About the Role
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.
Responsibilities
- 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.
- Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions.