What are the responsibilities and job description for the Senior Machine Learning Engineer, Personalization position at Spotify.space?
The Now Playing View team is a new surface on Spotify that gives users a chance to engage deeply with the content they are currently playing, and explore new content related to what's currently playing. With content like concerts, lyrics, and merchandise, as well as playable recommendations like music, podcasts, and audiobooks. There is a huge opportunity to scale and personalize recommendations on the surface.
The Home NPV team, which is taking ownership of this surface, is looking for a Senior Machine Learning Engineer to join a team of talented engineers that share a common interest in distributed systems, scalability and Machine Learning best practices. As one of the founding Machine Learning engineers on the team. You will be responsible for training and deploying the first models to power the NPV surface, across Music, Podcasts, and Audiobooks. You will work closely with the Backend and Data engineers on the team to ensure we meet latency requirements for serving the model on the request path as well as work closely with the Engineering Manager and Product Manager to drive the future of the Machine Learning strategy.
What You'll Do
- Coordinate technical projects across teams within Spotify
- Facilitate collaboration with other engineers, product owners, and designers to solve interesting and challenging problems for delivering various media worldwide
- Be a valued member of an autonomous, cross-functional agile team
- Architect, design, develop, and deploy the first Machine Learning models that will serve realtime recommendations across the Music, Podcast, and Audiobook NPV surfaces.
- Be a leader in personalization's Machine Learning community and work collaboratively and efficiently within Home's existing platforms and systems.
- Hands-on expertise with implementing end-to-end production ML systems at scale in Java, Scala, Python, or similar languages
- Help drive optimization, testing, and tooling to improve quality
Who You Are
Where You'll Be
The United States base range for this position is $176,166 $251,666 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
Salary : $176,166 - $251,666