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.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. 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. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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Read our CEO Statement
Skills Required
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field
- 0-7 years overall IT experience and 3+ years applied machine learning/data science (including internships or academic research)
- Proficiency in Python programming
- 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
State Street Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about State Street and has not been reviewed or approved by State Street.
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Retirement Support — Retirement support is framed as a standout component, highlighted by a 401(k) match described as 100% on the first 6% of base salary. This is positioned as a meaningful offset to less competitive cash compensation for some roles.
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Leave & Time Off Breadth — Leave and time off are portrayed as relatively robust, with references to multi-week vacation, paid holidays, sick time, and additional days tied to wellness or volunteering. This breadth is repeatedly treated as a tangible part of total rewards beyond base pay.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are presented as extensive, including the BeWell program, fitness discounts, onsite or supported health resources, and financial counseling. These offerings are depicted as strengthening the overall benefits proposition even when pay satisfaction is tepid.
State Street Insights
What We Do
At State Street, we partner with institutional investors all over the world to provide comprehensive financial services, including investment management, investment research and trading, and investment servicing. Whether you are an asset manager, asset owner, alternative asset manager, insurance company, pension fund or official institution, you can rely on us to be focused on your challenges. We are committed to doing what it takes to help you perform better — now and in the future
