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Spotify Jobs Jobs (NOW HIRING)

Spotify

Research Scientist - Music

Spotify is seeking a Research Scientist to join their Artist-First AI Music lab. The role involves conducting groundbreaking research in music generation and related domains, creating practical ...

Spotify

Content Designer, Personalization

Boston, MA · On-site +1

$119K - $170K/yr

We're looking for a Content Designer to join the Personalization Design team at Spotify, a multidisciplinary group building some of the world's most loved audio experiences, including Discover Weekly ...

Spotify

Legal Counsel - Product

New York, NY

$170K - $243K/yr

Spotify seeks an outstanding, highly-motivated attorney to serve as Legal Counsel, Product. As a product counsel at Spotify, you will partner with and provide guidance to our product and business ...

Spotify

Data Scientist - Subscriptions

New York, NY · On-site

$167/hr

The Subscriptions team drives how Spotify grows by building compelling ways for listeners to experience and pay for Premium. We focus on creating the right plans, pricing, and value so that millions ...

Spotify

Senior Manager, Finance - IRL Ventures

New York, NY · On-site

$152K - $218K/yr

Spotify is looking for a seasoned Senior Manager to join our Finance team to support the evaluation and potential operation of new in person experiences. As Spotify continues to evolve beyond digital ...

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How much do spotify jobs jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for spotify jobs in the United States is $22.58, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $26.68 per hour, depending on experience, location, and employer.
Infographic showing various Spotify Jobs job openings in the United States as of June 2026, with employment types broken down into 100% Locum Tenens. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $46,969 per year, or $22.6 per hour.

Senior Machine Learning Engineer - Enrichment & Content Intelligence

Spotify

New York, NY • On-site

$184K - $262K/yr

Other

Medical, Retirement, PTO

Posted 13 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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