Senior AI/ML Scientist

Core Responsibilities

• Lead R&D of industry-leading algorithms for multimodal data comprehension/understanding, Natural Language Processing, Knowledge Graph, Time-Series Analysis, Generative AI and their applications in financial domains to significantly improve our Vanguard client experiences.
• Lead AI research and strategies that would create long-term business benefits to Vanguard. Publish findings to AI/ML conferences including NeurIPS, ICML, ICLR, EMNLP, ACL, AAAI etc.
• Develop and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess the design of complex models and advance future capabilities.
• Guide and mentor other research scientists and engineers in the development and implementation of technical roadmaps.
• Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
• 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 decision-making.
• 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.
• Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
• Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
• Participates in special projects and performs other duties as assigned.
• Serves as an expert on cross-functional teams for large strategic initiatives. Educate and train business stakeholders and leaders to adopt AI research innovation.

• PhD or Master in a relevant discipline such as Computer Science, Cognitive Science, Mathematics, Statistics, Physics, Electrical & Computer Engineering.
• At least 7+ 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: Speech Recognition, Natural Language Processing, Reinforcement Learning, Knowledge Graph, Time-Series Analysis, or Generative AI.
• Experience with machine learning development lifecycle and deep learning methods such as Transformers, GANs, DQN, VAE, SHAP, Attention networks, Counterfactuals and Adversarial examples etc.
• 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.