Manager, Lead Research Scientist, LLM Agents (Foundational Research)

Thomson Reuters; Canada; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading technology and information services company in Canada is seeking a seasoned professional to lead innovative Machine Learning and Natural Language Processing projects. You'll oversee research, engage in model development, and collaborate with a global team to make a significant real-world impact. Ideal candidates should have a PhD and extensive experience in advanced ML/NLP/AI systems.

Benefits

Opportunity for career advancement

Competitive compensation & benefits

Flexible hybrid work model

Access to cutting-edge technologies

Qualifications

• 3+ years of hands-on experience leading teams building advanced ML/NLP/AI systems.
• Strong publication record in top-tier conferences focused on agent systems or multi-agent coordination.
• Excellent communication skills to report and present research findings clearly.

Responsibilities

• Lead strategic planning, hiring, and management in foundational research.
• Innovate and create new state-of-the-art Agent AI/LLM approaches.
• Collaborate with a global team of research engineers and academic partners.

Skills

Machine Learning

Natural Language Processing

Deep Learning

Team Leadership

Communication

Education

PhD in a relevant discipline

Tools

PyTorch

JAX

TensorFlow

Job description

Employer Industry: Technology and Information Services

Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Competitive compensation & benefits packages
- Flexible hybrid work model with the option to work from anywhere for up to 8 weeks per year
- Supportive workplace policies designed to help manage personal and professional responsibilities
- Access to cutting-edge methods and technologies in a collaborative environment
- Chance to make a real-world impact through meaningful projects and initiatives

What to Expect (Job Responsibilities):
- Lead strategic planning, hiring, and management in foundational research
- Innovate and create new state-of-the-art Agent AI/LLM approaches
- Engage in the entire research & model development lifecycle, including coding and delivering high-quality reports
- Collaborate with a global team of research engineers and academic partners
- Communicate technical findings through seminars, lectures, and publications

What is Required (Qualifications):
- PhD in a relevant discipline
- 3+ years of hands-on experience leading teams building advanced ML/NLP/AI systems
- Strong publication record in top-tier conferences focused on agent systems or multi-agent coordination
- Familiarity with deep learning frameworks such as PyTorch, JAX, or TensorFlow
- Excellent communication skills to report and present research findings clearly

How to Stand Out (Preferred Qualifications):
- High-impact publications in top-tier conferences or influence in the research community
- 5+ years of experience leading teams in advanced ML/NLP/IR systems for commercial applications
- Extensive experience with deep learning and large-scale model training
- Experience working on agent-based systems or multi-agent coordination in LLM contexts
- Strong software and infrastructure engineering skills

#AIResearch #MachineLearning #CareerGrowth #FlexibleWork #DataScience

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