Join a top-performing hedge fund leveraging cutting-edge AI and machine learning to drive quantitative research and trading strategies. They are seeking a Research Scientist specializing in Large Language Models (LLMs) or Computer Vision to help develop innovative models for analyzing large, unstructured data.
Key Responsibilities:
- Design and implement models using LLMs or Computer Vision for extracting insights from text, images, and other unstructured data sources.
- Work with quants and traders to apply AI models to financial datasets, translating findings into trading signals and strategies.
- Build large-scale pipelines for ingesting and processing diverse data sources.
- Optimize model performance and refine models using real-time data and advanced validation techniques.
- Partner with data scientists, engineers, and portfolio managers to deliver impactful AI solutions. Mentor junior team members.
Qualifications:
- PhD or Master's in Computer Science, AI, or related fields with focus on LLMs or Computer Vision.
- Experience with LLMs (e.g., GPT, BERT) or Computer Vision (e.g., CNNs). Proficiency in Python, TensorFlow, PyTorch. Familiarity with GPU computing and cloud platforms (AWS, GCP).
- 3+ years in AI model development, ideally in finance or tech, with a focus on unstructured data and large datasets.
- Strong analytical skills, quantitative mindset, and the ability to collaborate in a fast-paced environment.
- Strong Engineering / Coding skills
Benefits:
- Competitive compensation (salary, bonus, equity).
- Access to cutting-edge infrastructure and proprietary datasets.
- Opportunities for growth in a collaborative, innovative setting
If interested, please reach out to harry.moore(at)selbyjennings.com
