About the Team
The Personalization team at Spotify makes deciding what to play next easier and more enjoyable
for every listener. We aim to understand the world of music, podcasts, and audiobooks better than anyone else,
delivering great recommendations for every individual.
Our Minesweeper squad produces Human Understandable Language Knowledge to enrich content
understanding. Using AI and ML techniques, including Large Language Models (LLMs), we build reliable,
scalable systems to distribute that knowledge to internal teams, users, and creators.
We are seeking a Machine Learning Engineer to help build the future of music, podcast, and
audiobook listening experiences for millions of Spotify users.
What You’ll Do
- Utilize in-house and third-party LLMs to solve language understanding problems
- Apply techniques such as fine-tuning and RAG to improve models
- Design, build, evaluate, ship, and refine Spotify’s products through hands-on ML development
- Drive optimization, testing, and tooling to improve the quality of content enrichment assets
- Collaborate with cross-functional teams including MLEs, Data Engineers, Backend Engineers, and Product
- Participate in our AI Foundation’s ML community and work efficiently within existing platforms and systems
- Perform data analysis to establish baselines and inform product decisions
- Stay up-to-date on the latest ML algorithms and techniques
Who You Are
- Strong background in machine learning, particularly experience with LLMs
- Professional experience in applied machine learning
- Experience in a product and data-driven environment (Python required; Scala, Java, SQL a plus) and cloud platforms (GCP or AWS)
- Hands-on experience implementing or prototyping ML systems at scale
- Experience architecting data pipelines and self-sufficient in gathering data (using Dataflow, Apache Beam, Spark)
- Familiarity with agile software processes, data-driven development, and disciplined experimentation
- Passionate about fostering collaborative teams
- Experience with PyTorch, TensorFlow, or other scalable ML frameworks; Ray or TFX experience is a plus
- Bonus: Experience architecting near real-time pipelines
Where You’ll Be
This role can be located anywhere within the North America region. The team operates in the
Eastern Standard Time (EST) zone for collaboration.
Compensation & Benefits
- Base salary range: $138,250 – $197,500 plus equity
- Health insurance coverage
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off, 13 paid flexible holidays, and paid sick leave
Our Commitment
Spotify is an equal opportunity employer. We value diversity, inclusion, and accessibility,
welcoming employees for who they are regardless of background, identity, or personal experiences.
We are committed to making the recruitment process accessible. Reasonable accommodations are available at
every stage of the interview process.
About Spotify
Since 2008, Spotify has transformed music listening. Our mission is to unlock the potential of human creativity,
providing opportunities for millions of artists to thrive and billions of fans to enjoy music and podcasts.
Global Benefits
- Extensive learning opportunities via our dedicated team, GreenHouse
- Flexible share incentives to let you choose how you share in our success
- Global parental leave: six months off for all new parents
- Access to All The Feels, our employee assistance program and self-care hub
- Flexible public holidays, allowing swaps to align with your values and beliefs
Join us to help shape the future of content enrichment and recommendations at Spotify, making listening
experiences better for millions of users worldwide.
