Senior Staff ML Engineer – Remote, Content Platform

Devconnectplatform; New York (NY); Ibrido; USD 281.000 - 402.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Parental leave (6 months)

401(k)

Monthly meal allowance

23 paid days off

13 paid holidays

Paid sick leave

Descrizione del lavoro

Spotify is seeking a Senior Staff Machine Learning Engineer to design and scale production ML systems powering content understanding, safety, and decisioning at global scale. You will work across text, audio, image, and video modalities, collaborating with Product, Trust & Safety, and engineering teams to implement robust, fair, and explainable models.

The role emphasizes leadership, scalable architecture, and delivering high-quality experiences for listeners and creators, with hybrid New

Competenze

• Experience designing and building production-grade ML systems at scale.
• Deep experience with modern ML frameworks (PyTorch, TensorFlow, JAX).
• Strong interest or experience in multimodal ML (text, audio, image, video).
• Ability to translate content standards into scalable technical solutions.

Mansioni

• Define and drive ML strategy across content understanding, safety, policy enforcement, and platform-level decisioning.
• Build and scale production ML systems for classification, moderation, and ranking.
• Develop automated decisioning systems to support content quality, safety, and policy compliance at scale.
• Design and deploy ML systems across modalities (text, audio, image, video).
• Collaborate with Product, Policy, Trust & Safety, and Engineering teams to implement standards.
• Provide technical leadership and mentor engineers on ML architecture and systems.

Conoscenze

Production ML systems

PyTorch

TensorFlow

JAX

Multimodal ML

System design

Team leadership

Strumenti

PyTorch

TensorFlow

JAX

Descrizione del lavoro

Spotify is seeking a Senior Staff Machine Learning Engineer to design and scale production ML systems powering content understanding, safety, and decisioning at global scale. You will work across text, audio, image, and video modalities, collaborating with Product, Trust & Safety, and engineering teams to implement robust, fair, and explainable models.

The role emphasizes leadership, scalable architecture, and delivering high-quality experiences for listeners and creators, with hybrid New