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60 Spotify Senior Software Engineer Jobs Hiring Near You

Spotify

Frontend Engineer - Music

New York, NY · On-site +1

$133K - $190K/yr

The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify's rights ... Help improve engineering practices and advocate for strong frontend architecture and quality ...

Spotify

Frontend Engineer - Music

New York, NY

$133K - $190K/yr

The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify's rights ... Help improve engineering practices and advocate for strong frontend architecture and quality ...

Spotify

Data Engineer - Platform

Toronto, ON · On-site

CA$103K - CA$147K/yr

The Platform team creates the technology that enables Spotify to learn quickly and scale easily ... Collaborate with product owners, engineers, and cross-functional squads to deliver impactful ...

Spotify

Full Stack Engineer - Podcast

Spotify is a leading audio streaming service, and they are seeking a Full Stack Engineer to join ... software architecture across the back-end, front-end, and the APIs that glue them together. • You ...

Spotify

Backend Engineer, Podcast

... across Spotify and by external partners • Participate in on-call and goalie rotations to ensure system reliability and performance • Work with senior engineers to design scalable systems ...

Spotify

Backend Engineer - Platform

Toronto, ON · On-site

CA$103K - CA$147K/yr

It's a rethinking of how thousands of engineers build, test, and ship software every day. As part of Starfleet, you'll help shape the foundation of Spotify's engineering future. What You'll Do

Spotify

Backend Engineer, Podcast

New York, NY · On-site +1

$132K - $189K/yr

... Spotify and by external partners > * Participate in on-call and goalie rotations to ensure system reliability and performance > * Work with senior engineers to design scalable systems supporting ...

Spotify

Backend Engineer, Podcast

New York, NY · On-site

$132K - $189K/yr

... used across Spotify and by external partners * Participate in on-call and goalie rotations to ensure system reliability and performance * Work with senior engineers to design scalable systems ...

Spotify

Senior Research Scientist - Music

$100K - $128K/yr

Spotify is a leading music streaming service, and they are seeking a Senior Research Scientist to ... D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry ...

Spotify

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify ...

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Spotify Jobs Information

What is it like to work at Spotify?

Spotify is known for its collaborative and innovative culture, prioritizing creativity, experimentation, and employee well-being. The company's flat organizational structure and open communication channels allow teams to work closely together, fostering a sense of community and driving the development of new music streaming features and services. Working at Spotify may appeal to candidates who are passionate about music, technology, and innovation, and who are looking for a dynamic and fast-paced work environment that offers opportunities for growth and professional development.
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Infographic showing various Senior Software Engineer job openings at Spotify in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Machine Learning Engineer, Personalization, Minesweeper

Spotify

New York, NY • Remote

$138K - $197K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual person and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like “Home” and “Search” as well as original playlists such as “Discover Weekly” and “Daily Mix.”
 
Personalization’s Minesweeper squad produces Human Understandable Language Knowledge to enrich music and talk content understanding. We use AI and ML techniques, including Large Language Models, to understand music, podcasts and audiobooks, building reliable, scalable systems to distribute that knowledge to Spotify internal teams, users, and creators. We are looking for a Machine Learning Engineer to join our team and help build the future of music, podcast and audiobook listening experiences for millions of listeners at Spotify. This is a unique opportunity to help develop and shape Spotify content enrichment, and recommendations. You’ll grow your skills in ML engineering at scale, work with a cross-functional team of Data Engineers, Backend Engineers, and researchers, and join a motivated and supportive team.
What You'll Do
  • 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
Who You Are
  • 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. Experience with Ray or TFX is a plus
  • Bonus if you have experience with architecting near real time pipelines
Where You'll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $138,250- $197,500 plus equity. The benefits available for this position include 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. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice