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Applied Research Intern (NLP/ML/GenAI)

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Thomson Reuters

2mo ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Toronto

AI generated summary

  • You should be a PhD student or recent MSc graduate in a relevant field, with NLP/ML experience, Python skills, cloud familiarity, and able to communicate complex solutions clearly.
  • You will develop and test models, collaborate with global teams, innovate with new technologies, and solve real-world challenges through applied research in NLP, ML, and GenAI.

Requirements

  • PhD student or MSc recent graduate in a discipline relevant to NLP/IR/ML/Statistics
  • Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation
  • Software engineering skills for prototyping
  • 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
  • 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
  • Ability to translate academic research into working prototypes and experience experimenting with novel NLP/IR/ML models to solve real-world problems
  • Familiarity with generative AI and large language models (LLMs)
  • 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
  • Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues are a bonus
  • The preferred length of an internship position is 8 months

Responsibilities

  • 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.
  • Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

FAQs

What is the duration of the internship position?

The preferred length of the internship position is 8 months.

What qualifications are required for this internship?

Candidates should be PhD students or recent MSc graduates in a discipline relevant to NLP, IR, ML, or Statistics.

What kind of experience is preferred for applicants?

Practical and relevant experience building NLP, IR, or ML systems from ideation to implementation is preferred.

Which programming languages and tools should applicants be proficient in?

Applicants should have proficiency in implementing solutions using Python and deep learning frameworks, as well as experience with code collaboration tools like GitHub and familiarity with cloud platforms such as AWS, MS Azure, or Google Cloud.

What type of projects will the intern be working on?

The intern will contribute to projects that involve delivering automation and transformative enhancements to products serving tax and accounting professionals.

Is there an emphasis on team collaboration in this role?

Yes, the intern will work on a collaborative cross-functional team and learn from colleagues across the globe.

What type of mindset is valued in applicants?

A data-driven problem-solving and decision-making mindset, along with a curious and innovative disposition, is valued in applicants.

Are there opportunities for publishing research while working in this role?

Yes, having publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD is regarded as a bonus.

What types of skills are encouraged for innovation in this position?

Applicants are encouraged to propose outside-the-box solutions and experiment with novel NLP, IR, and ML models to solve real-world problems.

What is Thomson Reuters Labs known for?

Thomson Reuters Labs is known for consistently delivering successful data-driven AI solutions that support high-growth products for Thomson Reuters customers.

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Thomson Reuters

Entertainment & Media
Industry
10,001+
Employees
2008
Founded Year

Mission & Purpose

Thomson Reuters is the world’s leading provider of news and information-based tools to professionals. Our worldwide network of journalists and specialist editors keep customers up to speed on global developments, with a particular focus on legal, regulatory and tax changes. Our customers operate in complex arenas that move society forward — tax, law, compliance, government, media. In a disruptive digital age, we help professionals reinvent themselves. Thomson Reuters shares are listed on the Toronto and New York Stock Exchanges (symbol: TRI).