Research Scientist, LLM Agents (Foundational Research)

TRSS; Toronto; Hybrid; CAD 125,000 - 150,000; Full time

Job summary

A leading tech organization located in Toronto is seeking a qualified candidate for a research role focused on agent-based AI and machine learning. The position emphasizes innovation, collaboration, and the development of cutting-edge technologies. Candidates should possess a PhD or be nearing completion, along with significant publications and experience in deep learning frameworks. This role offers a hybrid work model and competitive compensation.

Benefits

Career advancement opportunities

Comprehensive benefits packages

Work-life balance policies

Qualifications

• Completed or in the process of obtaining a PhD in a relevant discipline.
• First-author publications in top-tier conferences.
• Familiarity with deep learning frameworks.

Responsibilities

• Innovate in agent-based AI and LLMs.
• Engage in research and model development lifecycle.
• Collaborate with global teams and partners.

Skills

Deep learning frameworks (e.g., PyTorch, TensorFlow)

Excellent communication skills

Self-driven attitude

Education

PhD in a relevant discipline

Tools

Cloud tools for distributed model training

Job description

Employer Industry: Information Services and Technology

Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Hybrid work model offering flexibility with 2-3 days a week in the office
- Competitive compensation and comprehensive benefits packages
- Access to cutting-edge methods and technologies in machine learning and AI
- Work-life balance supported by flexible workplace policies
- Make a real-world impact while serving professionals across various sectors

What to Expect (Job Responsibilities):
- Innovate and create new state-of-the-art approaches in agent-based AI and LLMs
- Engage in the entire research and model development lifecycle, including brainstorming, coding, and testing
- Collaborate with a global team of research engineers and academic partners
- Communicate technical findings through seminars, lectures, and publications
- Contribute to high-quality reports for leading international academic conferences

What is Required (Qualifications):
- Completed or in the process of obtaining a PhD in a relevant discipline
- First-author publications in top-tier conferences focused on agent systems or multi-agent coordination
- Familiarity with one or more deep learning frameworks (e.g., PyTorch, TensorFlow)
- Excellent communication skills for presenting research findings clearly
- Self-driven attitude with the ability to work independently in fast-paced environments

How to Stand Out (Preferred Qualifications):
- High-impact publications in top-tier conferences or influence in the research community
- Experience in ML research beyond completing a PhD, such as supervision or industry experience
- Extensive experience with deep learning frameworks and large-scale model training
- Strong software and/or infrastructure engineering skills
- Experience training large-scale models over distributed nodes with cloud tools

#MachineLearning #AIResearch #CareerOpportunity #FlexibleWork #DataScience

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