Senior Research Scientist (Foundational Research, Machine Learning)

Thomson Reuters; Toronto; Hybrid; CAD 150,000 - 200,000; Full time

Job summary

An established industry player in legal and financial information services is seeking a talented individual to join their innovative team. This role offers the opportunity to work with cutting-edge technologies in machine learning and AI, tackling real-world challenges using large datasets. You'll engage in the full research lifecycle, from brainstorming to delivering impactful reports, while collaborating with a diverse global team. The company promotes a hybrid work model, ensuring flexibility and a commitment to professional growth. If you're passionate about advancing the field of AI and eager to contribute to significant research, this position is perfect for you.

Benefits

Comprehensive benefits package

Flexible vacation

Mental health days

Professional growth resources

Diversity and inclusion commitment

Qualifications

• PhD student or recent graduate with research experience in a technical discipline.
• First-author publications at leading conferences like NeurIPS or ICML.

Responsibilities

• Innovate and explore new ML/NLP/GenAI approaches while mentoring with experts.
• Collaborate with a global team and publish research findings at conferences.

Skills

Machine Learning

Natural Language Processing (NLP)

Algorithm Development

Communication Skills

Research Experience

Education

PhD in a Technical Discipline

Tools

Amazon AWS

Microsoft Azure

Google Cloud

Job description

Employer Industry: Legal and Financial Information Services

Why consider this job opportunity:

1. Opportunity to work with a wealth of data and cutting-edge technologies in machine learning and AI
2. Access to a comprehensive benefits package, including flexible vacation and mental health days
3. Hybrid work model offering flexibility with 2-3 days in the office
4. Commitment to diversity, equity, and inclusion, with a globally recognized culture
5. Opportunities for professional growth and development through learning resources like LinkedIn Learning

What to Expect (Job Responsibilities):

1. Innovate and explore new ML/NLP/GenAI approaches while mentoring with experts
2. Engage in the full research and model development lifecycle, from brainstorming to delivering high-quality reports
3. Collaborate with a global team of research engineers and academic partners
4. Publish research findings at leading international academic conferences
5. Solve real-world challenges using large datasets and advanced algorithmic solutions

What is Required (Qualifications):

1. PhD student or recent graduate with research experience in a technical discipline
2. First-author publications at relevant venues such as NeurIPS, ICML, ICLR, or similar
3. Excellent communication skills for reporting and presenting research findings
4. Innovative mindset with the ability to devise novel algorithmic solutions
5. Self-driven with the ability to work independently in fast-paced environments

How to Stand Out (Preferred Qualifications):

1. Experience with large language models (LLMs) and related research topics
2. Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud
3. Previous experience in large-scale machine learning systems
4. Strong software and infrastructure engineering skills with contributions to open-source libraries