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Applied Research Intern (NLP/ML/GenAI)

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Thomson Reuters

8d ago

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

AI generated summary

  • You should be a PhD student or recent MSc grad in NLP/ML, with practical experience, strong Python skills, and familiarity with cloud tools and LLMs. Strong communication and collaboration skills are essential.
  • You will build, test, and deliver models, collaborate with global teams, and innovate by exploring new technologies to solve real-world challenges.

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

  • As a data scientist/research scientist intern, you will:
  • 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 a PhD student or an MSc recent graduate in a discipline relevant to NLP, IR, ML, or Statistics, and have practical experience in building NLP/IR/ML systems.

What programming languages and tools should applicants be proficient in?

Applicants should have proficiency in Python, deep learning frameworks, and version control systems such as GitHub. Familiarity with cloud computing tools like Amazon AWS, MS Azure, or Google Cloud is also required.

Is there a specific area of research focus for the internship?

The internship focuses on Natural Language Processing, Information Retrieval, and Machine Learning, particularly in the context of automation for tax and accounting products.

Are there opportunities for collaboration in this role?

Yes, interns will work as part of a collaborative, cross-functional team and will have the chance to learn from and partner with colleagues globally.

Is prior experience publishing research a requirement?

While it is not a strict requirement, publications at relevant conferences such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, and KDD are considered a bonus.

What types of projects will the intern be working on?

The intern will engage in the entire model development lifecycle, including building, testing, and delivering high-quality solutions that address real-world challenges in automation for tax and accounting professionals.

How does Thomson Reuters Labs support professional growth?

Thomson Reuters Labs is committed to personal and professional growth through an inclusive culture that promotes equality, diversity, inclusion, and work-life balance.

Are there any specific skills that would be particularly beneficial for applicants?

Skills in data-driven problem-solving, a curious and innovative mindset, experience with generative AI and large language models (LLMs), and the ability to communicate complex AI solutions effectively are beneficial.

What is the work environment like at Thomson Reuters Labs?

The work environment is fast-paced and agile, encouraging teamwork and collaboration while managing uncertainty and ambiguity.

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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).