About The Position

We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML science team as part of the Agentic AI platform buildout. The Science pillar advances LLM research, fine‑tuning, evaluation frameworks, anomaly detection, and frontier model development—partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features. Why this role is important to us 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.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
  • 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 (e.g., Neo4j, RDF, DGL) and knowledge graph construction.
  • Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.

Nice To Haves

  • Prior work on agentic AI is a big plus

Responsibilities

  • Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs
  • LLM research and fine-tuning including evaluating foundational models, fine-tuning and prompt optimization with robust data curation and governance alignment
  • Evaluation frameworks & taxonomies and Frontier model evaluation and buildout
  • Develop and maintain knowledge graphs and embeddings for semantic search and reasoning
  • Inference engine for scalable, low latency serving for tuned models, agentic workflows and cost optimization
  • Collaborate with engineering teams to deploy scalable AI solutions in production environments.
  • Conduct experiments and evaluations to benchmark model performance and ensure robustness
  • Opportunity to Research, document and socialize

Benefits

  • Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
  • For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
  • As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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