MACHINE LEARNING FOUNDATIONAL RESEARCH INTERN

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for Thomson Reuters’ Core Research Products, including Westlaw, Practical Law, and Checkpoint.

REQUIRED QUALIFICATIONS:

• Current PhD student or recent Master’s graduate in a relevant ML discipline.
• Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation,
• Software engineering skills for model prototyping,
• Proficiency in implementing solutions using Python, DL frameworks, and relevant tools.
• Experience in contributing to a shared codebase.
• Familiarity with workflows for remote development on AWS, Azure or similar
• Data-driven problem-solving and decision-making mindset.
• Curious and innovative disposition capable of proposing outside-the-box solutions.
• Comfortable communicating AI concepts to audiences with diverse technical backgrounds.

PREFERRED QUALIFICATIONS:

• Ability to translate academic research into working prototypes and experience identifying novel solutions to solve real-world problems,
• Familiarity with generative AI and large language models (LLMs),
• Familiarity with one, or multiple, of the following concepts: Knowledge Graphs, Training LLMs, Reward Models, Synthetic Data Generation, Evaluating LLMS (i.e. - LLM as a Judge), Legal Tech / Legal Use Case Models, Agentic AI
• 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 6-9 months.
  

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In This Role As A Machine Learning Foundational Research Intern You Will:

Applied Scientists are experts in Machine Learning and NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters’ products. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.

• 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.
• Foundational Research: Evaluate both new models and research techniques that could be used by our AI development teams.