Senior Multimodal ML Engineer, Content Intelligence

Spotify; New York (NY); Hybrid; USD 184,049 - 262,928; Full time

Benefits offered by this job

Health insurance

Paid parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

Paid flexible holidays

Paid sick leave

Job summary

Spotify is seeking a Senior Machine Learning Engineer to evolve our machine learning systems for music and video content. This role will design and implement large-scale ML pipelines, ensuring high-quality content across platforms.

Located in New York City, this position allows for flexibility between in-person meetings and remote work. We offer a competitive salary range and generous benefits including health insurance, paid parental leave, and vacation days.

Qualifications

• Experience building, deploying, and maintaining machine learning systems at scale.
• Strong experience with modern ML frameworks like PyTorch or TensorFlow.
• Experience working with multimodal systems across audio, vision, or text.

Responsibilities

• Own and evolve large-scale ML pipelines for content-resolution systems.
• Lead development of multimodal embedding frameworks for music video matching.
• Design and run experiments to improve content-quality outcomes.

Skills

Machine learning systems building

Multimodal machine learning

Entity resolution

PyTorch

TensorFlow

Data processing systems

Tools

Scio

Dataflow

Flyte

BigQuery

Scala

Job description

Spotify is seeking a Senior Machine Learning Engineer to evolve our machine learning systems for music and video content. This role will design and implement large-scale ML pipelines, ensuring high-quality content across platforms.

Located in New York City, this position allows for flexibility between in-person meetings and remote work. We offer a competitive salary range and generous benefits including health insurance, paid parental leave, and vacation days.