Overview
Join State Street's GenAI Center of Excellence to contribute to the development, fine-tuning, and evaluation of large language models, working closely with senior team members to enhance the GenAI platform.
What you'll do
- 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.
What you'll need
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
- 5–7 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.
Details
- Work schedule: On-premise.
Read the full description and apply on the company’s own careers page.