Machine Learning Research & Engineering Intern - Remote

About the Role

We are excited to offer a unique opportunity for a Machine Learning Research & Engineering Intern - Remote to join our innovative team. This internship allows you to contribute to cutting-edge machine learning research and engineering projects that focus on advanced personalization, recommendation systems, and natural language processing (NLP). As a remote intern, you will have the chance to work with a dynamic team and make a significant impact in the field of machine learning.

What You'll Do

• Conduct research in machine learning, focusing on advanced personalization and recommendation systems.
• Design, prototype, and evaluate ML models for personalized recommendations across various 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 to ensure successful project outcomes.
• Present research findings to stakeholders and contribute to publications, presentations, or internal research outputs.
• Apply best practices in coding, testing, and documentation to ensure high-quality deliverables.

Requirements

• Graduate student in a relevant field such as Computer Science, Data Science, or a related discipline.
• Experience with machine learning frameworks and tools.
• Strong programming skills in languages such as Python.
• Familiarity with NLP and recommendation systems.
• Ability to work effectively in a collaborative team environment.
• Excellent communication skills to convey complex ideas clearly.

Nice to Have

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data visualization tools.
• Previous internship experience in a related field.

What We Offer

• Hands-on experience with large-scale datasets and real-world machine learning applications.
• Mentorship from experienced researchers and engineers in the field.
• Opportunities to contribute to impactful projects that shape the future of technology.
• Networking opportunities within the machine learning and software development communities.
• Flexible working hours and a supportive remote work environment.