Staff ML Engineer, Content Intelligence & Multimodal

Spotify; New York (NY); Hybrid; USD 227,000 - 325,000; Full time

Benefits offered by this job

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

Job summary

Spotify is seeking a Staff Machine Learning Engineer in New York to build scalable ML systems that understand content across audio, video, text, and images. You will enable automation, improve quality, and unlock new product experiences for millions of listeners and creators.

Ideal candidates have production ML experience, proficiency with PyTorch or TensorFlow, and a passion for multimodal data, system design, and cross-team collaboration.

Qualifications

• Experience building and deploying machine learning systems in production.
• Experience with ML frameworks such as PyTorch or TensorFlow.
• Experience working with large datasets and emphasis on data quality and evaluation.

Responsibilities

• Build and scale machine learning systems that generate deep understanding of content across modalities.
• Develop models for classification, tagging, semantic understanding, and content enrichment.
• Create high quality content enrichment at scale using LLMs and agentic systems.
• Design systems that expose content intelligence signals to downstream teams and products.
• Improve automation for content quality, safety, and metadata enrichment at scale.
• Collaborate with product, policy, and engineering teams to translate content intelligence into user impact.
• Contribute to evaluation frameworks, data pipelines, and annotation systems.
• Support rapid experimentation to prototype and launch new content signals.
• Help improve system reliability, scalability, and performance across large datasets.

Skills

ML systems

PyTorch

TensorFlow

large datasets

multimodal ML

systems design

clear communication

Tools

PyTorch

TensorFlow

Job description

Spotify is seeking a Staff Machine Learning Engineer in New York to build scalable ML systems that understand content across audio, video, text, and images. You will enable automation, improve quality, and unlock new product experiences for millions of listeners and creators.

Ideal candidates have production ML experience, proficiency with PyTorch or TensorFlow, and a passion for multimodal data, system design, and cross-team collaboration.