Machine Learning Engineer - Content and Catalog Management
Description For Machine Learning Engineer - Content and Catalog Management
Spotify, the world's leading audio streaming platform, is seeking a Machine Learning Engineer to join their Catalog and Content Management (CoCaM) team within the Content Platform R&D studio. This role sits at the core of Spotify's content ecosystem, where you'll be instrumental in developing and implementing ML solutions that impact content appropriateness, availability, quality, and accuracy across the platform.
As a Machine Learning Engineer, you'll work on sophisticated ML projects ranging from supervised learning to LLMs, driving the full lifecycle of solutions from research to production deployment. The role offers a unique opportunity to work with cutting-edge ML technologies while directly influencing how millions of users experience content on Spotify.
The position requires a blend of technical expertise in ML, programming proficiency, and strong collaborative skills. You'll be working with Python, SQL, and modern ML frameworks, while interfacing with cloud platforms for deployment. The ideal candidate brings 2+ years of hands-on ML experience and a proven track record of deploying models in production environments.
What makes this role particularly exciting is its position at the intersection of machine learning and content management, where your work will directly impact how Spotify manages and delivers content to its massive user base. You'll be part of a dynamic team that values innovation, collaboration, and continuous learning, while enjoying the benefits of a hybrid work environment based in London.
Spotify offers an inclusive workplace culture where diversity is celebrated, and personal growth is encouraged. The company's mission to unlock human creativity through music and audio content provides a meaningful context for your technical work. If you're passionate about machine learning, content management, and want to impact how millions of people experience audio content, this role offers an exceptional opportunity to make your mark in one of tech's most influential companies.
Responsibilities For Machine Learning Engineer - Content and Catalog Management
- Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment
- Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs
- Optimize and monitor deployed ML model performance, implementing improvements based on analysis
- Document and standardize ML processes, pipelines, and model specifications
- Collaborate with cross-functional teams to understand business needs and identify opportunities for ML applications
- Work closely with engineering teams to integrate ML models into existing systems and workflows
- Be an active participant of a group of machine learning engineers
Requirements For Machine Learning Engineer - Content and Catalog Management
- 2+ years of hands-on experience in developing and deploying machine learning models in production
- Practical experience in implementing ML systems using Python or Scala
- Familiar with ML libraries and frameworks (e.g., TensorFlow or PyTorch)
- Solid understanding of various machine learning algorithms
- Proficient in data manipulation and analysis using SQL and Pandas
- Broad ML skillset including feature work in data pipelines
- Experience with model evaluation metrics
- Experience with cloud platforms (GCP, AWS, Azure) and their ML services
- Strong communication skills for technical concepts
- Proactive problem-solver with strong sense of ownership
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