Spotify

1 month ago

Senior Machine Learning Engineer - Enrichment & Content Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Senior Machine Learning Engineer to build and evolve large-scale ML pipelines for content-resolution, multimodal embeddings, and the Music Knowledge Graph; lead production ML initiatives, collaborate with Product, Data Science and Eng teams, and mentor engineers while shaping long-term ML strategy.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 184,049 - 262,928 annually

Perks:Health Insurance401kMeal AllowancePaid LeaveParental Leave

Key Requirements

•Solid experience building, deploying, and maintaining machine learning systems in production at scale.
•Strong experience training, evaluating, and operating ML models using PyTorch or TensorFlow.
•Experience with multimodal machine learning across audio, computer vision, text embeddings, or related domains.
•Understanding of entity resolution, deduplication, record linkage, or large-scale matching problems across multiple content modalities.
•Ability to design evaluation systems balancing model quality, operational performance, and real-world impact.

Experience:Music streamingMultimodalMachine learningProduction engineering

Skills:PyTorchTensorFlowMultimodalEmbeddingEntity resolutionDistributed data processingBigQueryScalaDataflowFlyteScioVideo understandingComputer visionRecommendation systems

Languages:English

Tech Stack:PyTorchTensorFlowScioDataflowFlyteBigQueryScalaSparkKubernetesPythonSQLComputer visionMultimodal embeddings

Company Brief

Spotify

Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2006

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Spotify

1 month ago

Senior Machine Learning Engineer - Enrichment & Content Intelligence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 184,049 - 262,928 annually

Perks:Health Insurance401kMeal AllowancePaid LeaveParental Leave

Key Requirements

•Solid experience building, deploying, and maintaining machine learning systems in production at scale.
•Strong experience training, evaluating, and operating ML models using PyTorch or TensorFlow.
•Experience with multimodal machine learning across audio, computer vision, text embeddings, or related domains.
•Understanding of entity resolution, deduplication, record linkage, or large-scale matching problems across multiple content modalities.
•Ability to design evaluation systems balancing model quality, operational performance, and real-world impact.

Experience:Music streamingMultimodalMachine learningProduction engineering

Skills:PyTorchTensorFlowMultimodalEmbeddingEntity resolutionDistributed data processingBigQueryScalaDataflowFlyteScioVideo understandingComputer visionRecommendation systems

Languages:English

Tech Stack:PyTorchTensorFlowScioDataflowFlyteBigQueryScalaSparkKubernetesPythonSQLComputer visionMultimodal embeddings

Company Brief

Spotify

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2006

Glassdoor: 4.1

Website LinkedIn Glassdoor