Machine Learning Engineer - Growth

At Epidemic Sound we are reinventing the music industry. Our carefully curated catalog, with over 32,000 tracks, is tailored for storytellers, streaming services, and in-store soundtracks. Countless clients around the world, from broadcasters, production companies, DSPs, and YouTubers rely on our tracks to help them tell their stories. Epidemic Sound’s music is heard in hundreds of millions of online videos daily, across millions of playlist streams, and in thousands of in-store locations. Headquartered in Stockholm, we’re spread across offices in New York City, Los Angeles, Seoul, Hamburg, and Amsterdam. We’re growing fast, have lots of fun, and are taking the music industry with us.

The growth of our business requires us to be excellent at building and maintaining relationships with our customers to inspire action and loyalty. To achieve this, we need to take our user experience to the next level, through suitable machine learning and customer analytics.

We are now looking for an experienced machine learning engineer with a strong focus on growth.

Job Description

On one side of the machine learning team, we are embedded in product teams accelerating product innovation and using machine learning to build products that users love. On the other side, we are working in a centralized team harvesting the latest developments in the fields of music information retrieval, signal processing and machine learning. You will report to the head of machine learning as an embed in a growth product team together with full stack engineers, designers, analysts and data scientists.

You will work together on end-to-end data projects to ensure relevant targeting of potential users, and to optimize retention by devising personalized user journeys. Tasks include:

- Rapid prototyping of algorithmic solutions to solve key growth problems
- From prototypes and experiments to operationalizing solutions at scale
- Build and deploy production-grade pipelines, models, tools and products

What are we looking for?

We are looking for a team member with a “no task is too small” mindset. It would be music to our ears if you have:

- A graduate degree in software engineering, computer science, machine learning, artificial intelligence, or a similar technical field
- About 3+ years hands-on experience of applying production-grade machine learning
- Sound theoretical understanding of machine learning, including neural networks, decision trees and gradient boosting
- A pragmatic, user-focused approach and an interest in the actual end-results
- Experience with: TensorFlow, Keras, PyTorch, scikit-learn, SciPy, NumPy, Pandas or similar
- Fluency in Python programming and a passion for production-ready code
- Experience building data-pipelines using tools such as Apache Beam, Spark or similar
- Experience with Google Cloud, Docker and ideally also a machine learning operations framework like TFX

Curious about our music? Find our music on Spotify here → https://open.spotify.com/user/... (https://open.spotify.com/user/epidemicsound)

We have lots of fun soundtracking the world and our annual Spring Bash (https://www.instagram.com/p/BysR7R-BamB/?utm_source=ig_web_copy_link) is an event that captures this perfectly. Take a look at our most recent celebration!

Application

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

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.