About the Role 

We are looking for a motivated and analytical professionals to join our GenAI Center of Excellence at State Street. This role is ideal for early-career professionals (0–7 years of experience) passionate about advancing large language model (LLM) capabilities through rigorous experimentation and applied research.  

You will contribute to the development, fine-tuning, and evaluation of cutting-edge AI models, working closely with senior team members to enhance our GenAI platform. 

Key Responsibilities 

• Design and implement experiments and fine-tuning workflows (e.g., LoRA, QLoRA) using Python and popular ML frameworks under the guidance of senior data scientists. 

• Support benchmarking and evaluation of LLMs, including performance analysis and anomaly detection. 

• Assist in data curation, preprocessing, and preparation for model training and evaluation. 

• Document experiment results, insights, and methodologies; maintain internal knowledge repositories. 

• Participate in model review sessions, learning and applying state-of-the-art evaluation methodologies. 

• Stay current with advances in generative models and contribute ideas to frontier model research. 

Required Qualifications 

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field. 

• 0–7 years of overall experience in IT and 3+ years of experience in applied machine learning/data science (including internships or academic research). 

• Proficiency in Python programming and hands-on experience with ML frameworks such as PyTorch or TensorFlow. 

• Basic understanding of LLM architectures, fine-tuning techniques, and Python-based model training pipelines. 

• Familiarity with evaluation metrics for generative models and experience analyzing model results using Python. 

• Familiarity with cloud AI/ML services (AWS, Azure, or GCP) and MLOps practices.