Staff ML Engineer: Multimodal Content Intelligence

Spotify; New York (NY); Hybrid; USD 227,495 - 324,993; Full time

Benefits offered by this job

Health insurance

Paid parental leave

401(k) retirement plan

Monthly meal allowance

Paid days off

Paid flexible holidays

Paid sick leave

Job summary

Spotify is looking for a Staff Machine Learning Engineer in New York, NY, to build and scale ML systems that provide deep understanding of content across various formats. This role involves developing models for classification and content enrichment, and collaborating with diverse teams to enhance content intelligence. The salary range for this position is $227,495–$324,993, and benefits include health insurance, paid leave, and retirement plans, among others.

Qualifications

• Experience in production-level ML systems.
• Familiarity with ML frameworks like PyTorch or TensorFlow.
• Ability to work with large datasets focusing on quality.

Responsibilities

• Build machine learning systems for content understanding.
• Develop classification and tagging models.
• Automate content quality and safety processes.
• Design systems that facilitate content intelligence.

Skills

Building and deploying machine learning systems

Experience with ML frameworks such as PyTorch, TensorFlow

Working with large datasets

Understanding multimodal machine learning

Designing systems that balance automation and quality

Problem-solving on complex issues

Clear communication across teams

Job description

Spotify is looking for a Staff Machine Learning Engineer in New York, NY, to build and scale ML systems that provide deep understanding of content across various formats. This role involves developing models for classification and content enrichment, and collaborating with diverse teams to enhance content intelligence. The salary range for this position is $227,495–$324,993, and benefits include health insurance, paid leave, and retirement plans, among others.