Senior Staff ML Engineer - Content Platform - Remote, Equity

Spotify; United States; Ibrido; USD 281.000 - 402.000; Tempo pieno

Vantaggi offerti da questo lavoro

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

Descrizione del lavoro

Spotify seeks a Senior Staff Machine Learning Engineer based in New York to shape and scale foundational ML systems for content understanding, safety, policy enforcement, and decisioning at global scale.

You will lead production ML architectures, collaborate with cross-functional teams, and mentor engineers while advancing automated, safe, and high-quality content experiences for listeners and creators alike.

Competenze

• Significant experience designing and building production-grade machine learning systems at scale.
• Experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar.
• Experience with multimodal machine learning across text, audio, image, or video.
• Experience deploying ML outputs to inform or automate real-world decisions.
• Ability to balance automation with quality, safety, reliability, and user experience.

Mansioni

• 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 that support content quality, integrity, safety, and policy compliance at scale.
• Design and deploy ML systems across multiple content modalities, including text, audio, image, and video.
• Build systems capable of evaluating and making decisions about content in real time and at Spotify scale.
• Enable controlled and reliable access to content and metadata for downstream products and applications.
• Collaborate closely with Product, Policy, Trust & Safety, and Engineering teams to translate content standards into scalable technical solutions.
• Advance automation while maintaining high standards for quality, safety, fairness, explainability, and reliability.
• Provide technical leadership across teams, mentoring engineers and influencing ML engineering, evaluation, and system design best practices.

Conoscenze

Production ML systems

Multimodal ML

System design

Mentoring

ML model evaluation

Strumenti

PyTorch

TensorFlow

JAX

Descrizione del lavoro

Spotify seeks a Senior Staff Machine Learning Engineer based in New York to shape and scale foundational ML systems for content understanding, safety, policy enforcement, and decisioning at global scale.

You will lead production ML architectures, collaborate with cross-functional teams, and mentor engineers while advancing automated, safe, and high-quality content experiences for listeners and creators alike.