Senior Machine Learning Engineer M H/F - 75

LIVE THE MUSIC WITH US

From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world.
At eighteen years old, we're only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and BE at the forefront of music and tech, look no further !

We believe music is all about embracing the things that make us different.
Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration.
Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We're constantly evolving alongside our customers, partners, artists and employees - striving to make Deezer the most personal and innovative streaming service in the world.

Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people's lives !
****Providing the right track at the right moment for our users, notify to them the latest new releases of their favorite artist, bringing a fully personalized interactive radio with the Flow : the recommendation engine is at the core of our users' experience in the product.

We are looking for a smart and creative ML engineer to work on bringing the most outstanding personalized experience. Inside the data science department, you will join the recommendation team.

You will closely work with our product team on new features for our users. Your mission will BE to develop algorithms to increase the recommendation engine relevance, improve personalization in the product and provide state of the art machine learning algorithms such as LLM to improve the user experience.

What you will do :
- Look into the data, propose some Machine learning models and experiment to provide a technical solution to the product manager requirements
- Code, deploy and monitor Machine learning models in production
- Iterate on existing models to improve KPIs
- Explore scientific literature, implement papers, design POC to explore innovative solutions to our users problems
- Collaborate with our Research team on research project to build the future of the recommendation engine