Senior Machine Learning Engineer

At Epidemic Sound, we make soundtracking content simple and inspiring with unlimited access to music and sound effects. Headquartered in Stockholm, with offices all over the world, we are a force of over 500 on a mission to soundtrack the world. Our innovative licensing model paves the way for creators - from YouTubers to small businesses to the world’s most recognizable brands such as Netflix, Redbull and BBC - to use sound to enhance their content while simultaneously supporting artists both financially and creatively. Epidemic Sound music is heard 2 billion times a day on YouTube alone and is recognized as one of Europe’s fastest-growing companies by the Financial Times. Epidemic Sound is backed by EQT, Blackstone, Creandum, Atwater Capital to name a few.

We’re now looking for an experienced and skilled Machine Learning Engineer to further strengthen the team.

In this position, you will be working on applying machine learning to drive value for our users: build pipelines, backend services, modify and train ML algorithms. You report to the Head of Machine Learning and work together with Full Stack Engineers and other ML Engineers in our Applied Machine Learning team focusing on soundtracking. Currently, there are seven ML Engineers and two Full Stack engineers in the team and we are growing further. Our work aims to inspire, guide and connect storytellers with the right material at the right time. To do this, we need a good understanding of music and how it can be further adapted. We have already built a number of ML powered applications that are highly appreciated by users, with examples including intelligent search features such as semantic, and audio-similarity-based search, recommender systems, tagging and previews of music.

How you will make an impact:

- Build prototypes, conduct experiments, and operationalize solutions at scale
- Build, deploy and maintain pipelines together with your team and across functions
- Directly improve the end-user's experience with ML solutions: from idea to production, your team will own projects and maintain the systems once they live in production
- Continue to foster a curious and explorative culture in a collaborative environment: e.g. pre-studies, study groups and theory Tuesdays
- Initiate and drive projects to success together with your team
- Improve technical processes and tooling
- Coach and mentor team members and staff from other teams



We believe that to succeed in this role, you have experience in some/all:

- Computer Science and Machine Learning with results in academia or industry
- Working as a Machine Learning Engineer in somewhat advanced stages
- Architecting, developing, deploying and monitoring software systems, preferably in python
- GCP or similar cloud solutions
- ML-Ops best practices and relevant tools



Furthermore, it would be music to our ears if you have real world experience in:

- Adapting/Fine-tuning foundation models to downstream applications
- Applying methods from Music Information Retrieval (MIR), especially using modern architectures

Curious to learn more about who we are and what we do? Check out our brand new "About us" page → https://www.epidemicsound.com/about-us/

Equal Opportunity Employer:

We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.

Application

Do you want to be a part of our fantastic team? Please apply, in English, by clicking the link below.