• LLM Engineer (USA)

    Trexquant Investment (Stamford, CT)


    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

     

    Benefits

     

    + Competitive salary plus bonus based on performance

    + Collaborative, casual, and friendly work environment

    + Pre-tax commuter benefit

    + Weekly company meals

     

    Trexquant is an Equal Opportunity Employer