Machine Learning Engineer - Personalization @ Spotify
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About Spotify Personalization
The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. Spotify's mission is to understand the world of music, podcasts, and audiobooks better than anyone else so that great, tailored recommendations can be made to every individual.
What You'll Do
- Design, build, evaluate, and ship ML solutions for personalization products.
- Collaborate with cross functional teams including user research, design, data science, product management, and engineering.
- Prototype innovative approaches and productionize solutions at scale for hundreds of millions of users.
- Advocate best practices for ML systems development, testing, and evaluation throughout the organization.
- Be part of an active group of machine learning practitioners at Spotify.
Who You Are
- An experienced ML practitioner skilled in solving complex real-world problems.
- Strong background in machine learning, NLP, and generative AI with practical application experience.
- Proficient in implementing end-to-end production ML systems in Python, Java, or Scala.
- Experienced with frameworks like Pytorch and TensorFlow.
- Skilled in designing modular ML architectures in collaboration with product teams.
- Knowledgeable about large-scale distributed data tools such as Apache Beam, Apache Spark, and cloud platforms like GCP or AWS.
Where You'll Be
You can work from anywhere in the North America region as long as you are within the Eastern Standard time zone for collaboration. The position offers flexibility and remote work options.
Compensation & Benefits
The United States base range for this position is $138,250 to $197,500 plus equity. Benefits include health insurance, six month paid parental leave, a 401(k) plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.
Inclusivity & Accessibility
Spotify is an equal opportunity employer committed to inclusivity. We support diverse backgrounds and provide reasonable accommodations throughout the recruitment process.
About Spotify
Celebrated for transforming music listening since 2008, Spotify thrives on its passion for music and podcasting, connecting millions of users with creative artists worldwide.
Key skills/competency
- Machine Learning
- Personalization
- Python
- Java
- Scala
- Pytorch
- TensorFlow
- Apache Beam
- Apache Spark
- Cloud (GCP/AWS)
How to Get Hired at Spotify
🎯 Tips for Getting Hired
- Customize your resume: Emphasize ML project experience and technical skills.
- Network strategically: Connect with Spotify employees on LinkedIn.
- Research Spotify: Understand their mission, culture, and products.
- Prepare technically: Brush up on ML frameworks and distributed tools.