Machine Learning Engineer Intern

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025. Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.

We’re a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We’re looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you’re ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.

At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. 

Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.

Job Overview:

The Machine Learning team at Coursera is seeking interns to assist in the design, development, and deployment of machine learning systems that enhance our platform’s educational offerings. As an intern, you will work on building scalable machine learning pipelines, optimizing models for production, and ensuring the robustness and efficiency of our machine learning applications. Your contributions will be vital in improving the performance and reliability of our hyper-personalized search and recommendation systems..

Responsibilities:

• Assist in the design and implementation of machine learning models and algorithms for real-world applications in the online education domain.
• Collaborate with data scientists to translate prototypes and research models into production-ready solutions.
• Develop and maintain end-to-end machine learning pipelines.
• Optimize machine learning models for performance and scalability, ensuring they can handle large volumes of user data and requests.
• Monitor the performance of deployed models, troubleshoot issues, and implement improvements based on performance metrics.
• Stay current with industry trends and advancements in machine learning, software engineering, and data infrastructure.

Basic Qualifications:

• Currently pursuing a B.E./B.Tech. Degree or higher in Computer Science, or related technical field
• Must be currently enrolled in a full time degree program and returning to the program after the completion of the internship

Preferred Qualifications:

• Strong understanding of machine learning concepts and experience with building and deploying predictive models.
• Proficiency in programming languages such as Python  along with experience in relevant machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data engineering concepts, including data pipelines, ETL processes, and working with databases.
• Self-motivated, innovative, and hands-on, with a relentless focus on impact and the ability to work independently.

If this opportunity interests you, you might like these courses on Coursera:

You may want to check out this cool course on Coursera about how to prepare for a software engineering interview - it has some great tips that would work well for an interview at Coursera as well. These are our most recent blogs by our past interns: Remote Internship Survival Guide & Empowering Teammates and Thriving Remotely