Summary: We are seeking a motivated and talented Machine Learning Engineer Intern to join our Corporate Tax and Trade product engineering team and help accelerate our AI initiatives. This is a unique opportunity to gain hands-on experience in the end-to-end machine learning lifecycle. You will work alongside senior engineers and data scientists on high-impact projects, from building robust data infrastructure on the cloud to developing and deploying cutting-edge machine learning models. If you are passionate about turning data into intelligent action, we want to hear from you! 🚀

What does TR Product Engineering do?

At TR Product Engineering, we're on the front lines of innovation. Our mission is to rapidly build and ship impactful AI and ML features that our customers use every day. We thrive in a fast-paced, collaborative culture where we learn directly from our users alongside our partners in Product and UX. If you're excited by the idea of shaping products through continuous experimentation and direct customer feedback, come join our journey.

About the Role:

• Build Data Pipelines: Design, implement, and maintain scalable and reliable data pipelines on cloud platforms (e.g., AWS, GCP, Azure). You'll handle everything from data ingestion and cleaning to transformation for ML applications.
• Develop ML Models: Preprocess data, engineer features, and train, evaluate, and iterate on various machine learning models (e.g., classification, regression, clustering) to solve real business problems.
• Create Proofs of Concept (PoCs): Rapidly prototype and test new ideas. You'll conduct experiments and build PoCs to validate the feasibility of new AI/ML approaches before full-scale implementation.
• Collaborate and Innovate: Work closely with data scientists, software engineers, and product managers to understand requirements, share insights, and contribute to our overall AI strategy.
• Research and Learn: Stay current with the latest advancements in machine learning, MLOps, and cloud technologies, and apply them to your projects.

About You: Required:

• Currently pursuing a Bachelor's or Master's in Computer Science, Data Science, Statistics, Mathematics, or a related technical field.
• Strong programming proficiency in Python and familiarity with its core data science libraries (Pandas, NumPy, Scikit-learn).
• Solid theoretical understanding of fundamental machine learning concepts, algorithms, and best practices.
• Excellent problem-solving skills and the ability to work with complex, unstructured data.
• A curious and collaborative mindset with strong communication skills.
• Understanding of LLMs and having executed projects using GenAI and agents.

Preferred (Bonus Points! ✨ ):

• Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) and its data/ML services (e.g., S3, EC2, SageMaker, Lambda; GCS, BigQuery, Vertex AI).
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Experience with SQL for querying and manipulating data.
• Knowledge of software development best practices, including version control with Git.
• Exposure to containerization technologies like Docker.

What You'll Gain:

• Real-World Impact: Work on projects that directly contribute to our products and business goals.
• Mentorship: Receive guidance and mentorship from experienced professionals in the AI/ML field.
• Hands-On Experience: Gain practical skills in cloud computing, MLOps, and the full model development lifecycle.
• Innovative Culture: Be part of a forward-thinking team that encourages creativity and continuous learning.

If you are excited about this opportunity, meet most of the above criteria, and are eager to learn, we want to hear from you!

What’s in it For You? At Thomson Reuters, our people are our greatest assets. We offer an enriched internship program that focuses on developing your skills while gaining access to a network of peers and leaders across our global organization. Bringing your whole self to work is at our core. Here’s how we support your growth:

• 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.
• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• Social Impact: We offer interns volunteer opportunities to make an impact in the community.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

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.

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More information about Thomson Reuters can be found on thomsonreuters.com.