Applied Science Intern

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. 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. 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. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 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. More information on requesting an accommodation here.

Key Responsibilities

Participate in the full model development lifecycle, including building, testing, and delivering high-quality machine learning and NLP solutions that address real-world business challenges. Collaborate with a cross-functional global team of machine learning engineers, NLP specialists, data scientists, and product teams, learning from and partnering with colleagues across multiple time zones and disciplines. Innovate by experimenting with new approaches, learning emerging technologies, and contributing original ideas to solve complex problems in information retrieval, natural language understanding, and machine learning applications.

Required Qualifications

Enrolled in or holding an MSc degree in Machine Learning, Natural Language Processing, Computer Science, or a closely related discipline, or currently pursuing a PhD in a relevant field Understanding and hands-on experience with Natural Language Processing and/or Machine Learning methods, including exposure to Large Language Models Proficiency in Python and practical experience implementing solutions using deep learning, machine learning, and NLP frameworks and tools Experience designing, creating, and evaluating experiments related to machine learning or large language models, with a data-driven problem-solving mindset Strong communication skills and ability to collaborate effectively as part of a diverse, distributed team

Fähigkeiten

PythonML / AISecurityMachine LearningGitHubAWSAzureGoogle Cloud

Gehaltsspanne

Auf Anfrage

Dieser Arbeitgeber nennt die Gehaltsspanne im ersten Gespräch.

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