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

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

Job summary

A technology and information services company in Canada is looking for a leader in AI research to drive strategic planning and team management. This role offers competitive compensation, hybrid work flexibility, and the chance to work with cutting-edge AI technologies. Candidates should hold a PhD and have substantial experience in ML/NLP/AI systems, along with a strong publication record in top-tier conferences.

Benefits

Flexible vacation

Mental health days

Career advancement opportunities

Qualifications

• PhD in a relevant discipline.
• 3+ years of experience leading teams in ML/NLP/AI systems.
• Strong publication record in relevant conferences.

Responsibilities

• Lead strategic planning and management in foundational research.
• Develop novel data sub-selection methods and enhance model training.
• Collaborate with a global team of research engineers.

Skills

Leadership in ML/NLP/AI systems

Deep learning frameworks (PyTorch, JAX, TensorFlow)

Excellent communication skills

Education

PhD in a relevant discipline

Tools

AWS

MS Azure

Google Cloud

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

#Technology #MachineLearning #ArtificialIntelligence #CareerOpportunity #ResearchAndDevelopment

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.