Machine Learning Foundational Research Intern

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. 

About The Role:

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. 

About You:

You Are A Fit For The Position of Machine Learning Foundational Research Intern If Your Background Includes:

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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What’s in it For You? 
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through: 

• Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more 

• Social Impact: Eight employee-driven Business Resource Groups; Environmental, Social and Governance (ESG) initiatives for local and global impact 

• Purpose-Driven Work: We have a superpower we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. 

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. 

Accessibility 

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

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More information about Thomson Reuters can be found on https://thomsonreuters.com.