Machine Learning Research & Engineering Intern - Remote

Overview

This internship offers a unique opportunity to contribute to cutting-edge machine learning research and engineering projects in a dynamic, innovative environment.

In Short

• Conduct research in machine learning, focusing on advanced personalization, recommendation systems, and NLP.
• Design, prototype, and evaluate ML models for personalized recommendations across devices and services.
• Work with large-scale datasets, training and optimizing models using collaborative filtering, hybrid models, deep learning, and generative AI.
• Collaborate with data engineers, product managers, researchers, and engineers.
• Present research findings to stakeholders.
• Contribute to publications, presentations, or internal research outputs.
• Apply best practices in coding, testing, and documentation.

Requirements

• Graduate student in a relevant field.
• Experience with machine learning frameworks and tools.
• Strong programming skills in languages such as Python.
• Familiarity with NLP and recommendation systems.
• Ability to work in a collaborative team environment.
• Excellent communication skills.

Benefits

• Hands-on experience with large-scale datasets.
• Mentorship from experienced researchers and engineers.
• Opportunities to contribute to impactful projects.
• Networking opportunities in the field.