Spotify · 3 weeks ago
Machine Learning Engineer I, Personalization , Minesweeper
United States
Full-time
Remote
New Grad, Entry Level
$120K/yr - $172K/yrSpotify is a leading audio streaming subscription service that aims to enhance the listening experience for millions. They are seeking a Machine Learning Engineer to join their Personalization team, focusing on developing AI and ML techniques to improve music and content recommendations for users.
MusicCloud ComputingDigital MediaAudioMusic StreamingPodcast
Responsibilities
Utilize in-house and 3rd party LLMs to solve language understanding problems
Employ techniques such as fine-tuning and RAG to improve models
Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
Help drive optimization, testing, and tooling to improve quality of our content enrichment assets
Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions
Stay up-to-date on the latest machine learning algorithms and techniques
Qualification
Required
You have a strong background in machine learning, especially experience with Large Language Models
You have professional experience in applied machine learning
Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)
You have some hands-on experience implementing or prototyping machine learning systems at scale
You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
You care about agile software processes, data-driven development, reliability, and disciplined experimentation
You have experience and passion for fostering collaborative teams
Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks
Preferred
Experience with Ray or TFX is a plus
Bonus if you have experience with architecting near real time pipelines
Benefits
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
Company
Spotify
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists.
Founded in 2006
5001-10000 employees
H1B Sponsorship
Spotify has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
74%
Represents job field similar to this job
Engineering and Development
Product Management
Management and Executive
Accounting and Finance
Marketing
Customer Service and Support
Creatives and Design
Legal and Compliance
Sales
Human Resources
Arts and Entertainment
Trends of Total Sponsorships
*2026 (15)
2025 (140)
2024 (117)
2023 (169)
2022 (259)
2021 (172)
2020 (115)
Funding
Current Stage
Public CompanyTotal Funding
$2.09BKey Investors
ValueAct CapitalManhattan Venture Partners (MVP)Goldman Sachs Investment Partners
2023-02-10Post Ipo Equity
2021-02-25Post Ipo Debt
2018-04-03IPO
Leadership Team
Alex Norstrom
Co-CEO
Gustav Söderström
Co-CEO, CPO, and CTO
Recent News
2026-06-06
2026-06-05
Music Business Worldwide
2026-06-05
Company data provided by crunchbase