Associate Machine Learning Engineer
Description For Associate Machine Learning Engineer
The Personalization (PZN) team at Spotify is seeking an Associate Machine Learning Engineer to join their Next Generation Sessions (NextGen) product area. This role focuses on reimagining listening experiences beyond traditional playlists, working on cutting-edge projects like AI DJ, AI Playlist, Blend, and Jam. As part of a ~100-person team spread across multiple locations, you'll be at the forefront of AI-powered audio innovation, collaborating with senior engineers and researchers to bring new features from concept to launch. The position offers an excellent opportunity for early-career professionals passionate about AI and music to impact millions of users worldwide. The role involves working with state-of-the-art AI technologies, including LLMs and agent frameworks, while contributing to Spotify's mission of transforming how people experience audio content. Based in New York with a hybrid work arrangement, this position offers competitive compensation including equity and comprehensive benefits. The team culture emphasizes innovation, collaboration, and continuous learning, making it an ideal environment for someone eager to shape the future of audio technology.
Responsibilities For Associate Machine Learning Engineer
- Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences
- Explore and evaluate new models, tools, libraries, and product trends
- Promote and model best practices in AI engineering
- Leverage AI coding assistants to rapidly prototype full-stack MVPs
- Collaborate with cross-functional partners
- Develop a keen eye for software quality
- Grow skills with access to Spotify's career development resources
- Build a strong foundation and culture in AI engineering
Requirements For Associate Machine Learning Engineer
- Full-stack AI prototyping capabilities
- Active engagement in AI ecosystem
- End-to-end thinking across the stack
- Working knowledge of machine learning fundamentals
- Experience with Python, Java, or Scala and modern ML frameworks
- Experience fine-tuning and evaluating LLMs
- Knowledge in building workflows integrating LLMs
- Experience in prompt engineering
- Understanding of code review practices
- Collaborative mindset
- Strong drive and creative mindset
Benefits For Associate Machine Learning Engineer
- 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
- Equity
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