Description
Thomson Reuters Labs in Toronto is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.
As an intern, you will be part of a diverse, interdisciplinary global team of experts. You will experiment and develop high-quality solutions, collaborate with colleagues across the globe, and innovate by trying new approaches and learning new technologies.
Responsibilities:
- Experiment and develop high-quality solutions
- Collaborate with colleagues across the globe
- Innovate by trying new approaches and learning new technologies
Requirements:
- PhD student/recent graduate, or MSc recent graduate in a discipline relevant to NLP/IR/ML/Statistics
- Practical and relevant experience building NLP/IR/ML systems
- Software engineering skills for prototyping
- Proficiency in implementing solutions using Python, DL and agentic frameworks
- Experience in using code collaboration and versioning systems such as Github
- Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud
- Data-driven problem-solving and decision-making mindset
- Curious and innovative disposition
- Comfortable in communicating complex AI solutions to audiences with diverse technical backgrounds
Preferred qualifications:
- Ability to translate academic research into working prototypes
- Familiarity with generative AI, large language models (LLMs), and agentic, observability and LLM tracing frameworks
- Self-driven attitude and ability to work with limited supervision
- Team player and comfortable to collaborate with internal team members and external stakeholders
- Comfortable in working in fast-paced, agile environments
- Publications at relevant venues are a bonus
Benefits:
- Career development and growth
- Culture of inclusion and belonging
- Social impact opportunities
- Making a real-world impact