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

TRSS; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A technology research organization in Toronto is seeking a PhD-level candidate to lead AI research efforts. This role involves strategic planning, team leadership, and the development of innovative AI systems. The ideal candidate should have at least 3 years of experience in ML/NLP/AI, a strong publication record, and familiarity with deep learning frameworks such as PyTorch or TensorFlow. This position offers a competitive salary, benefits, and a flexible hybrid work environment.

Benefits

Competitive compensation and benefits packages

Flexible hybrid work environment

Career advancement opportunities

Qualifications

• 3+ years of hands-on experience leading teams building advanced ML/NLP/AI systems.
• Strong publication record in top-tier conferences.
• Experience with large-scale model training.

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 and model development lifecycle.

Skills

Team leadership in ML/NLP/AI

Deep learning frameworks (PyTorch, JAX, TensorFlow)

Excellent communication

Education

PhD in a relevant discipline

Tools

AWS

Azure

Google Cloud

Job description

Why consider this job opportunity

• Opportunity for career advancement and growth within the organization
• Competitive compensation & benefits packages
• Flexible hybrid work environment with work-from-home options
• Access to extensive datasets and cutting-edge technologies
• Supportive workplace policies promoting work-life balance
• Chance to make a real-world impact in various professional sectors

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 and model development lifecycle, including coding and testing
• Collaborate with a global team of research engineers and academic partners
• Communicate research 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, focusing on agent systems or multi‑agent coordination
• Familiarity with one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
• Excellent communication skills, both oral and written

How to Stand Out (Preferred Qualifications)

• High-impact publications in top‑tier conferences or other influence in the research community
• 5+ years of hands‑on experience leading teams in advanced ML/NLP/IR systems
• Extensive experience with deep learning and large-scale model training
• Strong software engineering skills and contributions to open-source libraries
• Experience training large-scale models with cloud tools such as AWS, Azure, or Google Cloud