Principal AIML Scientist
Principal AIML Scientist
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Job Description
Vanguard is one of the worlds largest and most respected investment management companies known for its clientcentric approach lowcost investment products and commitment to longterm datadriven investment strategies. Our Enterprise AI and Research (EAiR) team is actively working on advancing AI innovation by integrating cuttingedge concepts into the Vanguard AI ecosystem establishing strategic AI partnerships and building enterpriselevel AI capabilities to empower Vanguard clients with advanced AI research and technology. The team aims to ultimately accelerate critical business solutions with AI capabilities. Some of the teams areas of research include areas around Agentic AI Responsible AI and Cognitive AI Architecture.
Role Overview:
As a Principal AI Research Scientist you will drive groundbreaking research in Large Language Models Agentic AI Responsible AI and Cognitive AI Architecture while contributing significantly to the broader AI research community. You will bring your extensive experience in AI principles methodologies and tools to lead cuttingedge projects author highimpact publications and represent the organization at conferences and workshops. In addition to your expertise in AI you will foster strong relationships with university/industry partners identify strategic alignment opportunities and facilitate productive collaborations to advance both fundamental and applied AI research. Your ability to combine deep technical knowledge with strong communication skills will enable you to effectively translate complex concepts for diverse audiences ensuring the organization remains at the forefront of AI innovation and ethical practices.
Core Responsibilities:
Research on new and innovative techniques to solve Artificial Intelligence/Machine Learning problems supporting Vanguard strategic business goals. Within but not limited to the domain of LLM Autonomous Agents Knowledge Graph AI in Finance Generative AI and Reinforcement Learning.
Serves as an expert on crossfunctional teams for large strategic initiatives. Educate and train business stakeholders and leaders to adopt AI research innovation.
Lead AI research and strategies that would create longterm business benefits to Vanguard. Facilitate research collaboration with University Partners. Publish findings to AI/ML conferences including NeurIPS ICML ICLR EMNLP ACL AAAI etc.
Leads and executes deep dive diagnostic predictive and prescriptive analytics to support datadriven business decision making. Creates alternative model approaches to assess the design of complex models and advance future capabilities.
Lead R&D of industryleading 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.
Guide and mentor other research scientists and engineers in the development and implementation of technical roadmaps.
Engage 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 decisionmaking.
Work closely with product teams and mentor them on modern ML best practices and keep the wider team informed of the state of the art.
Qualifications:
PhD or Master in a relevant discipline such as Computer Science Cognitive Science Mathematics Statistics Physics Electrical & Computer Engineering.
At least 10 years of experience in AI research in industry or academic setting
Strong expertise in various AI/ML concepts and paradigm. Strong expertise in at least one or more of the following areas: Large Language Models Natural Language Processing Reinforcement Learning Knowledge Graph TimeSeries Analysis or Generative AI.
Experience with machine learning development lifecycle and AI/ML methods such as Transformers Diffusion Models SHAP LLM and GenAI etc.
Strong software engineering capabilities and handson experience with various machine learning and deep learning frameworks including numpy scikitlearn keras PyTorch and Tensorflow
A strong understanding of the realworld 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 welldocumented and to build easily reproducible models.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members designed to capture the benefits of enhanced flexibility while enabling inperson learning collaboration and connection. We believe our missiondriven and highly collaborative culture is a critical enabler to support longterm client outcomes and enrich the employee experience.
Required Experience:
Staff IC
Employment Type
Full-Time
