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

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!