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

TRSS; Toronto; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

A leading technology firm in Ontario is seeking a research leader to drive innovative approaches in AI/ML. The successful candidate will lead strategic planning and manage talented teams, requiring a PhD and substantial experience in advanced ML/NLP systems. The position offers a supportive hybrid working environment and aims to make impactful contributions across various sectors.

Benefits

Competitive compensation and benefits packages

Flexible hybrid work environment

Access to extensive datasets and technologies

Supportive workplace policies for work-life balance

Qualifications

• 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.
• Excellent written and oral communication skills.

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.

Skills

Machine Learning

Natural Language Processing

Deep Learning

Team Leadership

Effective Communication

Education

PhD in a relevant discipline

Tools

PyTorch

JAX

TensorFlow

AWS

Azure

Google Cloud

Job description

Employer Industry: Information Services and Technology

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

#InformationServices #MachineLearning #AIResearch #CareerGrowth #WorkLifeBalance