About the Role

We arelooking fora motivatedand analytical professionalsto 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 ofcutting-edgeAI 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 datascientists

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

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

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

• Participate in model review sessions, learning and applyingstate-of-the-artevaluation 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, orrelatedtechnical field.

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

• Proficiencyin Python programming and hands-on experience with ML frameworks such asPyTorchor 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) andMLOpspractices.