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.

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 of working 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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ABOUT THE ROLE

As applied research intern you will:

• Innovate: You will have the opportunity to 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 of PMs, SMEs, engineers and designers, you will learn from and partner with colleagues across the globe.
• Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies.
• Plenty of data, compute, and high-impact problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & Accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers.
• Competitive compensation: The opportunity to earn while learning new skills.

You’re a fit for the role of Applied Research Intern if your background includes:

• PhD student or recent MSc 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, data science libraries (Numpy, Pandas, Scikit-learn, etc.), DL frameworks (PyTorch, TensorFlow, etc.) 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 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 audience with diverse technical backgrounds