Research Scientist Intern

Thomson Reuters•Eagan, MN

About The Position

Thomson Reuters Labs is seeking a machine learning scientist intern to contribute to foundational research for next-generation machine learning systems that power Thomson Reuters products. The Labs team conducts applied research and development across Legal, Tax & Accounting, Government, and Reuters News, balancing near-term product innovation with longer-term research. The intern will research and design a novel method, framework, or evaluation for search, deep research, or document drafting, building on state-of-the-art machine learning literature. They will test their approach using internal and public data, assess its generality and practicality, and may publish their research. At the end of the internship, they will share experimental findings and recommendations for applying their work within internal systems.

Requirements

Currently enrolled in a PhD program in a relevant discipline and have research experience.
Published research in top conferences such as ACL, NAACL, EMNIGIR, ECIR, AAAI, or related venues.
Expertise in Information Retrieval and Natural Language Processing, including training and evaluating language models and building AI agents.
Knowledge of the scientific method and strong statistical skills for designing and evaluating machine learning experiments.
Experience with one or more programming languages, preferably Python, and experience working in the cloud, such as AWS or Azure.
Experience with ML/NLP libraries such as PyTorch, TensorFlow, and Hugging Face.
Comfort using AI coding agents such as Claude Code, Codex, oring.
Experience working with unstructured datasets and knowledge of data-cleaning and processing techniques.
Good communication and writing skills, and ability to work collaboratively as part of a team.
Experience using AI as an aid without outsourcing critical thinking.

Responsibilities

Research and design a novel method, framework, or evaluation for search, deep research, or document drafting.
Build on state-of-the-art machine learning research to make a novel contribution in the relevant domain.
Run experiments using internal and public data to validate the generality and practicality of the approach.
Share experimental findings and recommendations for applying the work within internal systems.
Have the opportunity to publish research and influence applied science work within Thomson Reuters Labs.

Benefits

Flexible work arrangements, including work from anywhere for up to 8 weeks per year.
Flexible vacation and paid time off, including sick and safe time and paid holidays.
Two company-wide Mental Health Days off annually.
Access to the Headspace app.
Retirement savings plan, including a 401(k) plan with company match in the United States.
Tuition reimbursement.
Employee incentive programs.
Resources for mental, physical, and financial wellbeing, including an Employee Assistance Program and fitness reimbursement.
Health, dental, vision, disability, and life insurance programs in the United States.
Parental leave and sabbatical leave.
Two paid volunteer days off annually and opportunities to participate in pro-bono consulting and ESG initiatives.
Flexible Spending and Health Savings Accounts.
Commuter benefits.
Adoption and surrogacy assistance.
Employee Stock Purchase Plan.
Optional hospital, accident and sickness insurance; optional life and AD&D insurance; and group legal and identity-theft protection, paid by the employee.
Access to a 529 Plan.