Audio & Machine Learning Summer Intern (4 Mth - June - Sept 25)

5 days ago


London, United Kingdom Universal Music Group Full time

Music is Universal

It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.

The A Side: A Day in The Life

We are an innovative and dynamic team. We are curious, passionate and always looking to push the state of the art in AI for music. The future in this space is terribly exciting and we want to take part in shaping it. Our team member support each other every day in the pursuit of this goal.

As an Audio & Machine Learning Summer Intern, you will:

- Design and build state-of-the-art AI / Machine Learning and Audio algorithms
- Collaborate with the team and stakeholders
- Communicate results and findings to audiences of all levels of expertise.
- Be part of an innovative and dynamic team

If you are excited at the idea of working on state-of-the-art music & audio machine learning at industry scale and make an impact, we want to hear from you

The B Side: Skills & Experience

Person Specification

Necessary
- Background in Music Information Retrieval / Machine Learning / Audio Signal Processing
- Up to date knowledge of AI / Machine Learning / Deep Learning state of the art
- Hands on experience in music ML tasks such as music classification, music generation, source separation, representation learning, multi-modal deep learning or related tasks
- Strong software engineering background
- Thorough knowledge of Python and usual scientific libraries e.g. Numpy, Scipy, sklearn etc.
- Comprehensive knowledge and experience of Deep Learning and its usual frameworks (Pytorch, Tensorflow)
- Familiarity with Linux environments
- Ability to write good, well documented, and reusable code
- Good communication skills
- Curious, self-motivated, and proactive

Desirable
- Track record of publication(s) in relevant conferences or journals (e.g. ISMIR, ICASSP, ICML, ICLR etc)
- Familiarity/experience with Generative AI (e.g. latent diffusion, auto-regressive transformers etc)
- Familiarity/experience with cloud computing environments (e.g. AWS, Google Cloud Platform)
- Experience with containerised software development (Docker)
- Passion for music and/or deep musical understanding

Just So You Know

The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.

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