About Spotify
The ultimate destination for music and podcasts
Key Highlights
- 180 million+ paying subscribers worldwide
- $2.1 billion raised in Series G funding
- Acquired Gimlet Media, Anchor, and Parcast for podcasting
- Headquartered in Norrmalm, Stockholm with 1001+ employees
Spotify, headquartered in Norrmalm, Stockholm, is a leading commercial music streaming service with over 180 million paying subscribers globally. Founded to combat music piracy, Spotify has raised $2.1 billion in funding and is currently in its Series G stage. The platform not only offers a vast cat...
๐ Benefits
Spotify offers global parental leave with six months of fully paid time off for new parents, flexible public holidays to align with personal values, a...
๐ Culture
Spotify's culture is rooted in its mission to support creative artists while providing an accessible platform for fans. The company values innovation ...
Skills & Technologies
Overview
Spotify is hiring a Machine Learning Engineer II for their Personalization team to enhance user experience through personalized playlist features. You'll work with Python and machine learning frameworks like TensorFlow and Keras. This position requires experience in machine learning and data analysis.
Job Description
Who you are
You have a strong background in machine learning and data analysis, with experience in building and deploying machine learning models that enhance user experiences. You are proficient in Python and have hands-on experience with machine learning frameworks such as TensorFlow and Keras. Your understanding of personalization algorithms and recommendation systems allows you to create engaging features that resonate with users.
You thrive in collaborative environments and enjoy working with cross-functional teams to bring innovative ideas to life. Your analytical mindset helps you to interpret data effectively and make data-driven decisions that improve product features. You are passionate about music and understand the nuances of user preferences, which drives your motivation to create personalized experiences.
Desirable
Experience with large-scale data processing and familiarity with cloud platforms such as AWS or GCP would be a plus. Knowledge of A/B testing methodologies and user research techniques can further enhance your contributions to the team.
What you'll do
As a Machine Learning Engineer II on the Personalization team, you will design and implement machine learning models that power features like Prompted Playlists and Discover Weekly. You will analyze user data to understand listening habits and preferences, enabling you to create algorithms that deliver personalized recommendations. Collaborating closely with product managers and designers, you will iterate on features based on user feedback and performance metrics.
You will also be responsible for maintaining and optimizing existing models, ensuring they remain effective as user behavior evolves. Your role will involve conducting experiments to validate the effectiveness of new features and algorithms, using A/B testing to measure impact. You will contribute to the team's knowledge base by documenting your work and sharing insights with colleagues, fostering a culture of learning and innovation.
What we offer
Spotify offers a dynamic work environment where creativity and collaboration are encouraged. You will have the opportunity to work on impactful projects that reach millions of users worldwide. The company values diversity and inclusion, providing a supportive atmosphere for all employees. Competitive compensation and benefits packages are available, along with opportunities for professional growth and development within the organization.
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