
LLM Engineer
3 weeks ago
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
- Weekly company meals
Trexquant is an Equal Opportunity Employer
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