Wubble AI – Music Intelligence Analyst

Responsibilities:

1. Be the Maestro: Conduct experiments on our music generation models, fine-tuning features and parameters until they're pitch-perfect.
2. Curate the Playlist: Orchestrate the curation of datasets, deciding which tunes make the cut for our model's training playlist.
3. Jam Session: Collaborate with our AI and music teams to enhance the harmony and diversity of our generated music.
4. Data Harmonization: Analyze experimental results and turn data into sweet, sweet insights.

Expectations:

Educational Encore: Currently pursuing a degree in Data Science, Computer Science, Statistics, Music Technology, or a related field.

1.  Technical Tempo: Proficient with data analysis tools like Python, R, and SQL; bonus points if you can code a sonnet in SQL!
2. Machine Learning Melodies: Solid understanding of machine learning concepts—knowing your CNNs from your RNNs.
3. Passion Playlist: A love for music that hits all the high notes.
4.  Team Symphony: Ability to keep tempo in a fast-paced, collaborative environment.
5. Bonus Track: If you play an instrument or have a killer playlist, we’d love to hear about it!

What's in It for You?

1. Paid Gig: This is a paid internship position—we believe your talent deserves recognition!
2. Innovate and Inspire: Work with a dynamic team that doesn't just think outside the box—we remix it!
3. High-Profile Experience: Get hands-on experience with groundbreaking technology and clients like Disney, Spotify, and Google.
4.  Backed by the Best: Be part of a company supported by Antler, Google, and NVIDIA.
5. Perks & Jams: Enjoy a fun, creative workspace where your ideas can take center stage—plus coffee, snacks, and perhaps the occasional jam session!