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.

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