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
- 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
Top Skills
What We Do
Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.
