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

TRSS; Toronto; Hybrid; CAD 100,000 - 150,000; Full time

Job summary

A technology and information services company in Toronto is seeking a leader for AI research. The role requires a PhD and strong experience in ML/NLP/AI systems. Responsibilities include strategic planning, mentoring, and collaboration on innovative models. Candidates should possess excellent communication skills and a strong publication record. The position offers competitive compensation, benefits, and a hybrid work environment, allowing for work-life balance.

Benefits

Flexible vacation

Mental health days

Access to cloud computing platforms

Qualifications

• 3+ years of experience leading teams in ML/NLP/AI systems.
• Strong publication record in top-tier conferences.
• Familiarity with deep learning frameworks.

Responsibilities

• Lead strategic planning and management in research.
• Innovate data sub-selection methods and model training.
• Collaborate with global teams to advance AI research.

Skills

Leadership

Machine Learning

Natural Language Processing

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, including flexible vacation and mental health days
• Hybrid work model offering flexibility and work-life balance
• Chance to work with cutting‑edge methods and technologies in AI research
• Access to extensive datasets and cloud computing platforms for research and development
• Engage in meaningful social impact initiatives through company‑supported volunteer opportunities

What to Expect (Job Responsibilities)

• Lead strategic planning, hiring, and management in foundational research while mentoring team members
• Innovate by developing novel performance‑driven data sub‑selection methods and enhancing model training
• Participate in the entire research and model development lifecycle, including brainstorming, coding, and testing
• Collaborate with a global team of research engineers and academic partners to advance AI research
• Communicate technical findings through contributions to seminars, conferences, 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 in academia or industry
• Strong publication record in top‑tier conferences focused on training data curation and synthetic data generation
• Familiarity with one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
• Excellent communication skills for presenting research findings clearly, both orally and in writing

How to Stand Out (Preferred Qualifications)

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

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