Thomson Reuters
Machine Learning Foundational Research Intern
Thomson Reuters, Eagan, Minnesota, United States,
Machine Learning Foundational Research InternAre 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.About The Role:In This Role As A
Machine Learning Foundational Research 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.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.What's in it For You?Culture:
Globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.Wellbeing:
Comprehensive benefit plans; flexible and supportive benefits for work-life balance; company-wide Mental Health Days Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.Learning & Development:
LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters cafe networking.Social Impact:
Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.Purpose Driven Work:
We have a superpower that 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.AccessibilityAs 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.
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Machine Learning Foundational Research 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.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.What's in it For You?Culture:
Globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.Wellbeing:
Comprehensive benefit plans; flexible and supportive benefits for work-life balance; company-wide Mental Health Days Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.Learning & Development:
LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters cafe networking.Social Impact:
Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.Purpose Driven Work:
We have a superpower that 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.AccessibilityAs 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.
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