Senior ML Engineer, Multimodal Content Intelligence

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

Benefits offered by this job

Health insurance

401(k) retirement plan

Six-month paid parental leave

Monthly meal allowance

23 paid days off

Paid flexible holidays

Paid sick leave

Job summary

Spotify AB is looking for a Senior Machine Learning Engineer based in New York City to innovate the machine learning systems that support its content-resolution capabilities. This position involves improving how Spotify understands and enriches audio and video content on a global scale.

Candidates should have a strong background in ML systems, experience with frameworks like PyTorch and TensorFlow, and the ability to work on multimodal data. The role offers flexibility to work from home, with some in-person meetings.

Qualifications

• Solid experience building, deploying, and maintaining machine learning systems in production at scale.
• Strong experience training, evaluating, and operating ML models using modern frameworks.
• Understanding of entity resolution and large-scale matching problems.

Responsibilities

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

Skills

Machine learning systems

PyTorch

TensorFlow

Multimodal machine learning

Entity resolution

Tools

Scio

Dataflow

BigQuery

Scala

Job description

Spotify AB is looking for a Senior Machine Learning Engineer based in New York City to innovate the machine learning systems that support its content-resolution capabilities. This position involves improving how Spotify understands and enriches audio and video content on a global scale.

Candidates should have a strong background in ML systems, experience with frameworks like PyTorch and TensorFlow, and the ability to work on multimodal data. The role offers flexibility to work from home, with some in-person meetings.