Job description
Company Description
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!
**Join Us**
Job Description
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
Qualifications
This role is excellent for a person with:
At least 5 years of work experience in machine learning and models deployed in production
Fluent in at least one language in Python, Scala or Java
Already worked on a recommendation engine
Ability to take initiative, strong business sense and and innovative mindset
Fluent in English or French.
Experience with analyzing large data sets using Hadoop/Spark/GCP is a plus !
If you don’t meet 100% of the qualifications outlined above, tell us why you’d still be a great fit for this role in your application!
Additional Information
At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding :
Regular Diversity & Inclusion internal and external talks
Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability and LGBTQ+
Multiple e-learnings and mandatory training sessions for all managers
English and French courses for all, so that everyone can connect and feel included
Beyond benefits like health insurance, transportation, we offer you extra perks like:
A Deezer premium family account for free
Access to gym classes
Join over 70 Deezer Communities to connect beyond your day-to-day work, share passions, learn from each other and #Belong.
Deezer parties several times a year and drinks every thursday
Mental health and well-being support from Moka.Care
Allowance for sports, travelling and culture
Mental health and well-being support from Moka.Care
Meal vouchers
Great offices always located in dynamic and attractive districts, whether in Paris, London or Sao Paulo!
Hybrid remote work policy
If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here!
