This role will focus on applied research and product-oriented data science requirements – designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics and operationalizing fine-tuning/tooling for business use cases
Job Summary
This role will focus on applied research and product-oriented data science requirements – designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics and operationalizing fine-tuning/tooling for business use cases.
State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world.
We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive.
Matching Summary
This role will focus on applied research and product-oriented data science requirements – designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics and operationalizing fine-tuning/tooling for business use cases.
Skills & Requirements
Must-have
LLM research and fine-tuning
evaluation frameworks and taxonomies
knowledge graphs and embeddings
inference engine for scalable serving
applied machine learning or NLP
production-scale LLM, GenAI or NLP
Nice-to-have
agentic AI experience
collaboration with engineering teams
flexible Work Programs
inclusive development opportunities
Key Requirements
3+ years of experience in applied machine learning or NLP
Hands-on experience with LLM’s, GenAI or NLP at production scale
Strong understanding of graph databases
Proficiency in Python and ML libraries
Familiarity with cloud platforms and MLOps practices
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field