Manager, Lead Research Scientist, Training Data (Foundational Research)

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

Job summary

A leading technology firm in Canada is seeking a candidate for a pivotal role in machine learning research. You will lead strategic research initiatives, innovate in data curation, and collaborate globally. Ideal candidates hold a PhD and have extensive experience in ML/NLP/AI systems, along with strong communication skills. This position offers competitive compensation and a flexible hybrid work environment.

Benefits

Competitive compensation and benefits packages

Work-life balance support

Career development programs

Qualifications

• 3+ years of hands-on experience leading teams in advanced ML/NLP/AI systems.
• Strong publication record in top-tier conferences focused on training data curation.
• 5+ years of experience leading teams in ML/NLP/AI systems preferred.

Responsibilities

• Lead strategic planning and management of foundational research initiatives.
• Engage in the entire research and model development lifecycle, from brainstorming to delivery.
• Collaborate with global teams of research engineers and academic partners.

Skills

Advanced ML/NLP/AI systems

Deep learning frameworks (PyTorch, JAX, TensorFlow)

Excellent communication skills

Education

PhD in a relevant discipline

Tools

Cloud tools for training large-scale models

Job description

Employer Industry: Technology and Data Solutions

Why consider this job opportunity:
- Opportunity for competitive compensation and benefits packages
- Hybrid work model offering flexibility with 2-3 days a week in the office
- Work-life balance support through flexible policies and up to 8 weeks of remote work per year
- Career development and growth programs to enhance skills and leadership opportunities
- Access to vast datasets and cutting-edge technologies in a dynamic research environment
- Chance to make a real-world impact by contributing to justice, truth, and transparency

What to Expect (Job Responsibilities):
- Lead strategic planning and management of foundational research initiatives
- Innovate by developing novel data sub-selection methods and improving training data utilization
- Engage in the entire research and model development lifecycle, from brainstorming to delivery
- Collaborate with global teams 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 in advanced ML/NLP/AI systems
- Strong publication record in top-tier conferences focused on training data curation
- Familiarity with deep learning frameworks such as PyTorch, JAX, or TensorFlow
- Excellent communication skills for presenting research findings clearly

How to Stand Out (Preferred Qualifications):
- 5+ years of experience leading teams in ML/NLP/AI systems
- High-impact publications in top-tier conferences or notable influence in the research community
- Extensive experience with large-scale model training and LLM training-data
- Strong software engineering skills with contributions to open-source libraries
- Experience with cloud tools for training large-scale models

#Technology #MachineLearning #AIResearch #CareerDevelopment #HybridWorkModel

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