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52 Spotify Senior Software Engineer Jobs Hiring Near You

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 - Advertising

New York, NY

$132K - $189K/yr

Spotify is hiring a Full Stack Engineer to join the Spotify Advertising Team. Our team is ... software and systems. * You value team success over personal success and have the ability to both ...

Spotify

Frontend Engineer - Music

New York, NY · On-site

$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 · 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

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

$184K - $262K/yr

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform ... Working at the intersection of machine learning, platform engineering, and regulatory compliance ...

Spotify

Director of Sales - Backstage

New York, NY · On-site

... developer experience, and ship high-quality software faster - including in the age of AI - without losing autonomy or control. This role leads sales for Shipping Our Expertise (SOE), Spotify's B2B ...

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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.

Senior Machine Learning Engineer - Enrichment & Content Intelligence

Spotify

New York, NY • On-site

$184K - $262K/yr

Other

Medical, Retirement, PTO

Posted 6 days ago

Job description

The Experience team designs Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.
The Enrichment & Content Intelligence team sits within Content Platform in the Experience Mission. We build the metadata-resolution and content-enrichment infrastructure that powers how Spotify understands music and video content at global scale. Our systems help answer foundational questions across the platform: which tracks are the same recording, which music videos match which audio tracks, who wrote and performed a song, and how content relationships connect across Spotify's catalog.
Our infrastructure powers products and experiences used by millions of listeners, artists, and creators every day. From recommendations and charts to royalties and artist tooling, the work we do directly shapes how content is understood and surfaced across Spotify.
We're looking for a Senior Machine Learning Engineer to help evolve the machine learning systems behind Recording Groups, Music Video Resolution, SongDNA, and the Music Knowledge Graph. This role sits at the intersection of multimodal machine learning, entity resolution, and production-scale engineering, with opportunities to work across audio, video, and metadata understanding problems at massive scale.
What You'll Do
  • Own and evolve large-scale ML pipelines powering Spotify's content-resolution systems
  • Lead development of multimodal embedding frameworks supporting multimodal understanding, music video matching, SongDNA
  • Improve entity-resolution systems across music and video content, helping Spotify better understand relationships between recordings, versions, and content formats
  • Design and run experiments to improve precision, recall, and overall content-quality outcomes using offline evaluation, golden datasets, A/B testing, and impact analysis
  • Build scalable ML evaluation and monitoring infrastructure, including standardized datasets, retraining workflows, and continuous improvement systems
  • Contribute to the evolution of the Music Knowledge Graph by improving production ML capabilities, observability, and model lifecycle management
  • Partner closely with Product Managers, Data Scientists, and engineering teams across Content Platform and the wider Experience Mission
  • Help shape technical strategy for the squad and contribute to long-term ML direction across the product area
  • Mentor engineers and contribute to a strong culture of technical collaboration and experimentation

Who You Are
  • You have solid experience building, deploying, and maintaining machine learning systems in production at scale
  • You have strong experience training, evaluating, and operating ML models using modern frameworks such as PyTorch or TensorFlow
  • You have experience working with multimodal machine learning systems across audio, computer vision, text embeddings, or related domains
  • You understand entity resolution, deduplication, record linkage, or large-scale matching problems, ideally across multiple content modalities
  • You know how to design evaluation systems that balance model quality, operational performance, and real-world impact
  • You are experienced working with large-scale distributed data processing systems and ML infrastructure
  • You communicate effectively across engineering, product, and data science stakeholders
  • You are comfortable leading technical initiatives and influencing engineering direction within a team
  • Experience with Scio, Dataflow, Flyte, BigQuery, or similar distributed processing frameworks is a plus
  • Experience with Scala is a plus
  • Experience with computer vision, video understanding, multimodal embeddings, or recommendation systems is a strong plus

Where You'll Be
  • This role is based in New York City
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $184,049-262,928 USD, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
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

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