ML Research Scientist Intern - NLP & IR

Thomson Reuters Foundation; Eagan (MN); In loco; USD 34.000 - 55.000; Part-time

Vantaggi offerti da questo lavoro

Flexible vacation

Mental Health Days

Tuition reimbursement

Employee stock purchase plan

Descrizione del lavoro

Thomson Reuters Labs invites a Research Scientist Intern to contribute to foundational ML research across NLP, information retrieval, and AI agent design. You will work on state-of-the-art methods to push boundaries in search, document drafting, and related tasks, using both internal and public data for rigorous experiments.

The role emphasizes publishing results and integrating insights into Thomson Reuters Labs' applied science projects, with opportunities to influence direction within the

Competenze

• Currently enrolled in a PhD program with research experience.
• Publications at top venues (ACL/NAACL/EMNLP/ECIR/AAAI or related).
• Expertise in Information Retrieval and Natural Language Processing, including training/evaluating language models and building AI agents.
• Strong statistical thinking and experimental design for ML research.
• Experience with Python and cloud platforms (AWS/Azure).
• Experience with ML/NLP libraries such as PyTorch, TensorFlow, and HuggingFace.
• Familiar with AI coding agents and unstructured data cleaning/processing.
• Strong written and verbal communication and teamwork skills.

Mansioni

• Research and design new methods or evaluation frameworks for search, deep research, or document drafting.
• Run experiments with internal/public data to validate ideas and assess practicality.
• Publish research findings and share recommendations for applying work within internal systems.

Conoscenze

NLP research

Information retrieval

Python

Cloud (AWS/Azure)

ML/NLP frameworks

Formazione

PhD student

Strumenti

PyTorch

TensorFlow

HuggingFace

Descrizione del lavoro

Thomson Reuters Labs invites a Research Scientist Intern to contribute to foundational ML research across NLP, information retrieval, and AI agent design. You will work on state-of-the-art methods to push boundaries in search, document drafting, and related tasks, using both internal and public data for rigorous experiments.

The role emphasizes publishing results and integrating insights into Thomson Reuters Labs' applied science projects, with opportunities to influence direction within the