Research Engineer Intern
Thomson Reuters is a global leader in providing trusted content and technology solutions. They are seeking a Research Engineering Intern to contribute to software development and innovation in AI and machine learning, working collaboratively with a diverse team to drive digital transformation.
Responsibilities
- Develop and Delivery – You will apply modern software development practices to building, testing, and delivering high-quality solutions. You will be involved in the entire software development lifecycle
- Build Scalable ML Solutions – You will create large-scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high-performing, scalable systems in the context of large online delivery environments
- Collaborate – Working on a collaborative cross-functional team of applied scientists and engineers, 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, create Minimum Viable Products, and work on solving real-world challenges
Skills
- Pursuing a Master's or Bachelor's degree in Computer Science, Information Technology, or a related discipline
- Proficiency in Python and a deep understanding of related software development stacks and ecosystems
- Ability to write clean, reusable, maintainable, and well-tested code
- Experience with using code collaboration and versioning systems such as GitHub
- Desire to learn and embrace new and emerging technologies
- Strong communication and collaboration skills
- Understanding of CI/CD, DevOps, and SDLC concepts for application development
- Understanding of Natural Language Processing, and/or Machine Learning methods, including Large Language Models
- Familiarity with cloud platforms (any of AWS, Azure, Google Cloud) and a basic understanding of MLOps tools and practices
- Familiarity with working with unstructured datasets and knowledge about tools and techniques for data cleaning and processing
- Keen interest in real-world applications and impact
Benefits
- Career Development and Growth
- Culture
- Social Impact
- Making a Real-World Impact
Company Overview