Senior Machine Learning Engineer - Policy & Safety

Spotify
New York
Workplace: HybridFull timeUSD 184,050 - 262,928 annuallyFunction: Data Science & Machine LearningSkills: ["PyTorch","Machine Learning","Python","Scala","Distributed systems","Multimodal","LLM","Architecture","Model evaluation"]

Senior ML Engineer focused on production-grade machine learning systems for content safety and policy enforcement at Spotify. Lead technical initiatives across detection, classification, and policy evaluation, develop multimodal and LLM-based models, build evaluation frameworks, and drive experiments to improve performance, reliability, and fairness in safety-critical systems, while aligning with Trust & Safety, Legal, and Public Affairs.

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FursaFursa
Spotify
Spotify
3 months ago

Senior Machine Learning Engineer - Policy & Safety

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Senior ML Engineer focused on production-grade machine learning systems for content safety and policy enforcement at Spotify. Lead technical initiatives across detection, classification, and policy evaluation, develop multimodal and LLM-based models, build evaluation frameworks, and drive experiments to improve performance, reliability, and fairness in safety-critical systems, while aligning with Trust & Safety, Legal, and Public Affairs.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, build, and ship production-grade ML systems that power content safety and policy enforcement at Spotify scale.
  • •Own and lead key technical initiatives across detection, classification, and policy evaluation systems.
  • •Develop and maintain ML models for content moderation, including multimodal and LLM-based systems.
  • •Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops.
  • •Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems.

Pay and Benefits

Salary: USD 184,050 - 262,928 annually
Equity and Bonus:Equity
Perks:Health Insurance401kMeal AllowancePaid LeaveParental Leave

Key Requirements

  • •Solid experience building and deploying machine learning systems in production environments at scale.
  • •Experience training, evaluating, and maintaining ML models using PyTorch or similar frameworks.
  • •Deep understanding of ML evaluation, including dataset design, metrics, and continuous improvement systems.
  • •Ability to design systems balancing performance, reliability, and real-world impact in high-stakes domains.
  • •Commitment to building safe, responsible, and user-centric ML systems.
Experience:Machine learningProduction systemsMultimodalLLMPyTorchDistributed systems
Skills:PyTorchMachine LearningPythonScalaDistributed systemsMultimodalLLMArchitectureModel evaluation
Languages:English
Tech Stack:PyTorchScalaDistributed systemsMultimodalLLMPythonLLMs

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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