Spotify

Machine Learning Engineering Manager - Personalization

Spotify$184K — $262K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in production-level machine learning systems
  • Hands-on expertise in traditional ML and generative AI techniques
  • Experience building scalable, reliable backend systems
  • Strong understanding of applying ML to consumer products
  • Familiarity with evaluation methodologies for machine learning models
  • Ability to collaborate across technical and non-technical teams
  • Commitment to creating safe and inclusive user experiences

Responsibilities

  • Design and enhance ML systems for safety in personalization applications
  • Develop scalable and reusable safety solutions across teams
  • Build and maintain high-throughput backend services utilizing ML models
  • Collaborate with various departments to address safety needs technically
  • Integrate both in-house and third-party models for generative AI
  • Establish evaluation frameworks for model validation and accuracy
  • Use metrics to refine system performance and enhance user experience

Benefits

  • Health insurance coverage
  • Six-month paid parental leave
  • 401(k) retirement savings plan
  • Monthly meal allowance
  • 23 paid vacation days
  • Paid flexible holidays
  • Paid sick leave
Full Job Description
What You'll Do

  • Design, build, and improve machine learning systems that power safety across personalization surfaces such as recommendations, search, and emerging AI experiences
  • Contribute to the platformization of safety systems, enabling scalable and reusable solutions across teams
  • Develop and operate high-throughput, low-latency backend services powered by ML models
  • Partner with Product, Trust & Safety, and Content Platform to translate safety needs into practical technical solutions
  • Work on both traditional ML models and generative AI systems, including integrating third-party and in-house foundational models
  • Contribute to evaluation frameworks, including labeling strategies, ground truth creation, and model validation approaches
  • Collaborate with foundational model teams to embed safety into LLM-based and agent-driven experiences
  • Use metrics and experimentation to continuously improve system performance, safety outcomes, and user experience


Who You Are

  • You are experienced in building and deploying machine learning systems in production environments
  • You have hands-on experience with both traditional ML approaches and newer generative AI techniques
  • You have worked with scalable backend systems that require reliability, low latency, and high availability
  • You understand how to apply ML solutions to real-world product challenges, ideally in consumer-facing products
  • You have experience with model evaluation approaches such as labeling workflows, red-teaming, or ground truth data generation
  • You are comfortable working across disciplines, collaborating with product managers, researchers, and policy partners
  • You care deeply about building safe, responsible, and inclusive user experiences
  • You bring a thoughtful, metrics-driven approach to problem solving and decision-making


Where You'll Be

  • This role is based in New York or Boston
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home


The United States base range for this position is $184,050 - $262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.

About Spotify

Spotify is a Swedish audio streaming and media services provider, launched in October 2008. The platform is owned by Spotify AB, a publicly traded company on the New York Stock Exchange since April 2018. Spotify's primary business is providing an audio streaming platform, with the company claiming that it had 345 million active monthly users and 155 million paying subscribers as of December 2020. Unlike physical or download sales, which pay artists a fixed price per song or album sold, Spotify pays royalties based on the number of artist streams as a proportion of total songs streamed on the service. Spotify distributes approximately 70% of its total revenue to rights holders, who then pay artists based on their individual agreements. Spotify has faced criticism from artists and producers including Taylor Swift and Thom Yorke, who have argued that it does not fairly compensate musicians. Spotify has also faced criticism from artists and producers including Taylor Swift and Thom Yorke, who have argued that it does not fairly compensate musicians.
Learn more about Spotify
Size
3,456 employees
Industry
Founded
2006

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