The Personalization team makes decisions about what to
play next easier and more enjoyable for every listener. From Blend
to Discover Weekly, we’re behind some of Spotify’s most-loved
features. We built them by understanding the world of music and
podcasts better than anyone else. Join us and you’ll keep millions
of users listening by making great recommendations to each and
every one of them. We are looking for a Machine Learning Engineer
II to join our product area of hardworking engineers that are
passionate about connecting new and emerging creators with users
via recommendation algorithms. As an integral part of the squad,
you will collaborate with engineers, research scientists, and data
scientists in prototyping and productizing state-of-the-art ML.
What You'll Do - Contribute to designing, building, evaluating,
shipping, and refining Spotify’s personalization products by
hands-on ML development. - Collaborate with a cross-functional
agile team spanning user research, design, data science, product
management, and engineering to build new product features that
advance our mission to connect artists and fans in personalized and
relevant ways. - Prototype new approaches and productionize
solutions at scale for our hundreds of millions of active users. -
Promote and role-model best practices of ML systems development,
testing, evaluation, etc., both inside the team as well as
throughout the organization. - Be part of an active group of
machine learning practitioners in Europe (and across Spotify)
collaborating with one another. - Together with a wide range of
collaborators, help develop a creator-first vision and strategy
that keeps Spotify at the forefront of innovation in the field. Who
You Are - You have a strong background in machine learning, enjoy
applying theory to develop real-world applications, with experience
and expertise in bandit algorithms, LLMs, general neural networks,
and/or other methods relevant to recommendation systems. - You have
hands-on experience implementing production machine learning
systems at scale in Java, Scala, Python, or similar languages.
Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong
plus. - You have some experience with large scale, distributed data
processing frameworks/tools like Apache Beam, Apache Spark, or even
our open source API for it - Scio, and cloud platforms like GCP or
AWS. - You care about agile software processes, data-driven
development, reliability, and disciplined experimentation. - You
love your customers even more than your code. Where You'll Be - We
offer you the flexibility to work where you work best! For this
role, you can be within the European region as long as we have a
work location. - This team operates within the GMT/CET time zone
for collaboration. #J-18808-Ljbffr
