Senior ML Engineer, Content Safety & Policy

Spotify; Kansas; Hybrid; USD 184,050 - 262,928; Full time

Benefits offered by this job

Health insurance

Six-month paid parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

Paid flexible holidays

Paid sick leave

Job summary

Spotify is looking for a Machine Learning Engineer specializing in content safety to design and build ML systems that ensure compliance across its platform. You'll lead initiatives in detection and moderation, collaborating with teams across Trust & Safety, Legal, and Public Affairs.

This role is based in New York, offering flexibility to work from home alongside in-person meetings. The compensation range is $184,050 - $262,928 USD plus equity, along with comprehensive health benefits and paid leave.

Qualifications

• Experience in building and deploying machine learning systems at scale.
• Proficient in training and evaluating ML models using PyTorch.
• Understanding of machine learning evaluation, metrics, and improvement systems.
• Experience with distributed systems or backend technologies like Scala.

Responsibilities

• Design and build ML systems for content safety and policy enforcement.
• Lead key initiatives across detection and evaluation systems.
• Develop and maintain ML models for content moderation.
• Collaborate with cross-functional teams on policy and enforcement.

Skills

Machine learning systems

PyTorch

Distributed systems

Technical leadership

Job description

Spotify is looking for a Machine Learning Engineer specializing in content safety to design and build ML systems that ensure compliance across its platform. You'll lead initiatives in detection and moderation, collaborating with teams across Trust & Safety, Legal, and Public Affairs.

This role is based in New York, offering flexibility to work from home alongside in-person meetings. The compensation range is $184,050 - $262,928 USD plus equity, along with comprehensive health benefits and paid leave.