Description
Thomson Reuters Labs is seeking a curious and open-minded Applied Science Intern with a passion for machine learning and natural language processing.
In this six-month internship, you'll join a diverse, interdisciplinary global team of specialists in Information Retrieval, NLP, Machine Learning, Engineering, and Design. You'll be part of Thomson Reuters' digital and AI transformation, contributing to real-world challenges and high-growth products across our core segments: Legal, Tax & Accounting, Government, and Reuters News.
You will 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.
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.
Preferred qualifications:
- Experience with code collaboration and versioning systems such as GitHub.
- Familiarity with cloud platforms such as Amazon AWS, Microsoft Azure, or Google Cloud.
- Experience working with unstructured datasets and knowledge of data cleaning, processing, and preparation techniques.
- Enthusiasm for staying current with state-of-the-art machine learning and NLP research and techniques.
- Curiosity, intellectual openness, and a genuine passion for problem-solving through applied AI and machine learning.
Benefits:
- Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.