Senior AI/ML Scientist
At a glance
Senior AI Research role at Vanguard. Toronto · full-time · no salary stated · we estimate CA$151,100–CA$175,975 across Canada.
Vanguard has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Investigate AI methods that support strategic business goals, including language models, autonomous agents and responsible AI
- Develop algorithms for model fine-tuning, knowledge graphs and generative AI, applying them to financial use cases
- Publish research results at AI and machine-learning conferences such as NeurIPS, ICML or another listed venue
- Build, test and deploy machine-learning solutions, then turn research outcomes into usable products
- Analyze business data, shape stakeholder requests into research questions and propose models or process improvements
What you bring
- A relevant master's degree, such as in computer science, mathematics or another listed field
- At least five years conducting AI or machine-learning research in industry or academia
- Experience across the machine-learning development lifecycle and methods such as transformers, diffusion models or another listed approach
- Strong software engineering skills and hands-on use of NumPy, scikit-learn or another listed framework
Who this fits
This role suits a senior researcher who can connect AI research with practical business analysis and deployed solutions. Vanguard uses a hybrid work model for most employees, combining flexibility with in-person collaboration.
From the employer
Lead with purpose and keep growing. See your future here.
Vanguard’s Enterprise AI and Research (EAiR) team is actively working on advancing AI innovation by integrating cutting-edge concepts into the Vanguard AI ecosystem, establishing strategic AI partnerships, and building enterprise-level 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 team’s areas of research include areas around Agentic AI, Responsible AI, and Cognitive AI Architecture.
Responsibilities:
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.
Qualification:
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.
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.
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 in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.