Senior Staff ML Engineer - Content Platform (Remote)

MagicBox; Greater London; Hybrid; GBP 209,000 - 298,000; Full time

Benefits offered by this job

Health insurance

Six month parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

13 paid holidays

Job summary

Spotify is hiring a Senior Staff Machine Learning Engineer to build and scale foundational ML systems for content understanding, safety, and policy enforcement at global scale. You will shape architecture and drive technical strategy across multiple modalities, empowering real-time decisions and reliable content delivery.

You will collaborate with Product, Policy, Trust & Safety, and Engineering to translate standards into scalable solutions, advancing automation while upholding quality and

Qualifications

• Significant experience in designing and building production-grade ML systems at scale.
• Strong grasp of modern ML frameworks and toolchains.
• Experience with multimodal ML across text, audio, image, or video.

Responsibilities

• Define and drive machine learning strategy across content understanding, safety, policy enforcement, and platform-level decisioning.
• Build and scale production ML systems for classification, moderation, ranking, risk detection, and content evaluation.
• Develop automated decisioning systems for content quality, integrity, safety, and policy compliance at scale.
• Design and deploy ML systems across multiple modalities (text, audio, image, video).
• Enable controlled and reliable access to content and metadata for downstream products.

Skills

Production ML systems

Multimodal ML

System design

ML strategy

Leadership

Tools

PyTorch

TensorFlow

JAX

Job description

Spotify is hiring a Senior Staff Machine Learning Engineer to build and scale foundational ML systems for content understanding, safety, and policy enforcement at global scale. You will shape architecture and drive technical strategy across multiple modalities, empowering real-time decisions and reliable content delivery.

You will collaborate with Product, Policy, Trust & Safety, and Engineering to translate standards into scalable solutions, advancing automation while upholding quality and