Senior AI/ML Scientist – Vanguard – 160386
Location
Toronto, ON, CA
April 10, 2024
April 10, 2024
Toronto, ON, CA
Toronto, ON, CA
Job Requisition #160386
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.
Qualifications
- 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.
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.
April 10, 2024
Toronto, ON, CA
Job Requisition #160386
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.
Qualifications
- 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.
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.
Location Toronto, ON, CA
Our commitment to equal employment opportunity
Vanguard is an equal opportunity employer. Vanguard is committed to providing all crew members a working environment that is free from discrimination, prejudice and bias. Through this Equal Employment Opportunity (EEO) Policy, Vanguard reaffirms its commitment to equal employment opportunity for all applicants and crew members without regard to race, color, national origin or ancestry, religion, gender, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran or military status. In addition, Vanguard prohibits discrimination based on genetic information, as well as any other characteristic protected by federal, state or local law.
Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Vanguard. Please inform careers@vanguard.com if you need assistance completing this application or to otherwise participate in the application process.