Senior Machine Learning Engineer, Personalization
Software Engineering
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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.
Senior Machine Learning Engineer
Personalization
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Engineering
Machine Learning
Locations
- New York
- Boston
Job type
Permanent
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
- You have experience being a technical leader or mentor
- You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems. (including experience in spotify-kubeflow and salem)
- You are experienced with feature engineering and building scalable data pipelines in Scio.
- You have a deep understanding of Machine Learning systems and infrastructure.
- You have experience in Tensorflow or Keras.
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.
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Our global 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 - fully paid - 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.
Learn about life at Spotify
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.Quick clicks
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