Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an applied scientist intern with a passion for problem-solving using state-of-the-art ML/NLP/IR/GenAI techniques.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.
As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in ML/NLP/IR/GenAI, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.
The internship duration at Thomson Reuters Labs is typically up to 6 to 8 months and may be aligned with one or two academic semesters or depending upon your availability.

BASIC QUALIFICATIONS:

• PhD student or MSc recent graduate in a discipline relevant to NLP/ML/IR/Statistics,
• Practical and relevant experience building NLP/ML/IR/GenAI systems, from ideation to implementation,
• Software engineering skills for prototyping including:
• Proficiency in implementing solutions using Python, DL frameworks, and relevant tools,
• Experience in using code collaboration and versioning systems such as Github,
• Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud,
• Comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing,
• Data-driven problem-solving and decision-making mindset,
• Curious and innovative disposition capable of proposing outside-the-box solutions,
• Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds.

PREFERRED QUALIFICATIONS:

• Familiarity with attention mechanism and transformer neural networks such as BERT and GPT,
• Familiarity with generative AI (GenAI) and large language models (LLMs),
• Familiarity with GenAI supporting technologies such as Prompt Engineering, RAG, Fine-tuning, etc.
• Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues,
• Ability to translate academic research into working prototypes and experience experimenting with novel NLP/ML/IR models to solve real-world problems,
• 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 managing uncertainty and ambiguity.
  

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As an Applied research intern, you will:

• Innovate: You can try new ML/NLP/IR/GenAI approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.
• Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.
• Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.