About Wubble

At Wubble, we’re reimagining music creation through the lens of AI. Our platform empowers artists, hobbyists, and future music-makers to collaborate with generative models and push the boundaries of sound. With a fast-evolving product and an energized team, we're shaping the next era of music creativity—and design is at the core of it.

Role Overview

We are seeking an AI Intern to assist in fine-tuning our proprietary music generation model. You will be involved in training, experimentation, and optimization tasks that push the boundaries of what AI can achieve in the music domain. This is a hands-on role that offers a unique opportunity to gain experience in advanced model development, MLOps, and cloud deployment on GCP.

Key Responsibilities

• Data Preparation & Curation: Work with large datasets to ensure quality, consistency, and suitability for training and fine-tuning.

• Model Training & Fine-Tuning: Collaborate with senior engineers to refine our model’s performance and adapt it to new use cases.

• Experimentation & Analysis: Run experiments, track metrics, and analyze results to identify areas of improvement.

• Deployment & MLOps: Learn and assist with deploying models on Google Cloud Platform (GCP), leveraging containerization and CI/CD pipelines.

• Collaboration & Reporting: Participate in team meetings, present findings, and maintain clear documentation of progress and results.

Qualifications

• Educational Background: Currently pursuing a degree (Bachelor’s or Master’s) in Computer Science, Data Science, Machine Learning, or a related field.

• AI & Deep Learning: Basic understanding of deep learning concepts, neural network architectures, and model fine-tuning techniques.

• Programming Skills: Proficiency in Python and familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow).

• Cloud & Deployment: Exposure to Google Cloud Platform (GCP) services (e.g., Compute Engine, AI Platform) and containerization (Docker) is highly desirable.

• Data Handling: Experience with data processing libraries (e.g., NumPy, pandas) and basic knowledge of data pipelines.

• Collaboration: Strong communication skills, ability to work in a fast-paced environment, and eagerness to learn from experienced team members.

Why join Wubble?

• High-Impact Projects: Work on innovative AI solutions used by leading global brands.

• Top-Tier Backing: Collaborate within a well-funded ecosystem supported by industry giants like Antler, Google, and NVIDIA.

• Cutting-Edge Technology: Gain hands-on experience with a large-scale generative model in a real-world production environment.

• Professional Growth: Develop your AI engineering skill set under the mentorship of experts, with the potential for a future full-time role.

• Remote Flexibility: Enjoy the convenience of a remote internship that accommodates your academic schedule.
  
  

To apply, send us your resume, a brief cover letter, and any relevant project links or portfolio using the button below with the subject line: "AI Intern – Model Fine-Tuning – [Your Full Name]"