You have at least 6 years of experience working with ML models at scale.
You have a strong background in machine learning, theory, and practice.
You are comfortable explaining the intuition and assumptions behind ML concepts.
You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages.
Nice to Haves
Experience with TensorFlow is also a plus.
You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models.
You preferably have experience with cloud platforms like GCP or AWS.
What You'll Be Doing
Lead the Design, development, evaluation and iteration of the necessary ML models.
Collaborate with a multi-functional team spanning user research, design, data science, product management, and engineering to build new product features that advance Spotify’s mission.
Prototype new approaches and productionise solutions at scale for hundreds of millions of active users.
Help drive optimization, testing, and tooling to improve quality.
Help cross-skill our engineering team with the machine learning craft.
Perks and Benefits
Extensive learning opportunities through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.