We are seeking an AI Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced AI workflows and tools. The role offers a unique opportunity to work on cutting-edge technologies that directly impact our investment strategies.
Responsibilities
- Design and implement systems incorporating large language models (LLMs), vector databases, and other artificial intelligence tools for a variety of quant research applications, including literature review, data search, and code generation.
- Deploy, monitor, and enhance AI systems, ensuring that solutions are scalable.
- Partner with portfolio quant researchers to develop AI tools that address specific market opportunities and challenges.
- Stay abreast of the latest AI developments, contributing to internal thought leadership and pushing the envelope of what can be achieved.
- Deploy AI models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds.
- Identify potential risks related to AI 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, AI 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
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.
