Senior AI/ML Scientist

Master’s degree in a relevant field of study such as Computer Science, Cognitive Science, Mathematics, Statistics, Physics, Electrical & Computer Engineering.
At least 5+ years of experience in AI/ML research in industry or academic setting.
Experience with machine learning development lifecycle and AI/ML methods such as Transformers, Diffusion Models, SHAP, LLM and GenAI etc.
Deep understanding of cutting-edge AI research topics, such as multi-agent systems, generative models, or cognitive architectures.
Strong software engineering capabilities and hands-on experience with various machine learning and deep learning frameworks including numpy, scikit-learn, keras, PyTorch and Tensorflow.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success.
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models.

Research on new and innovative techniques to advance Artificial Intelligence research supporting Vanguard strategic business goals.
Contribute to advanced AI research that would bring transformative changes to Vanguard business. Publish findings to AI/ML conferences including NeurIPS, ICML, ICLR, EMNLP, ACL, AAAI etc.
Build industry-leading algorithms for LLM finetuning paradigms, Autonomous Agents, Knowledge Graph, Generative AI, Responsible AI and their applications in financial domains to significantly improve our Vanguard client experiences.
Performs deep-depth diagnostic, predictive and prescriptive analysis to support data-based business decision-making. Creates alternative model approaches to assess the design of complex models and advance future capabilities.
Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
Create business values through productization and deployment of research outcomes.
Engages with internal stakeholders to understand and explore business processes to develop hypotheses. Brings structure to requests and translates requirements into an analytical approach.
Collaborate with various business and operation units to identify business opportunities and design innovative solutions to optimize processes and promote informed decision-making.

No preferred qualifications provided.