Machine Learning Engineering Manager - Personalization

1 month, 4 weeks ago
Full-time
Lead
Software Development
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Design, build, and improve machine learning systems that power safety across personalization surfaces.
  • Contribute to the platformization of safety systems so solutions can be reused and scaled across teams.
  • Develop and operate high-throughput, low-latency backend services powered by machine learning models.
  • Partner with Product, Trust & Safety, and Content Platform to turn safety needs into technical solutions.
  • Work on traditional machine learning models as well as generative AI systems, including third-party and in-house foundation 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 improve system performance, safety outcomes, and user experience.

Requirements

  • Experience building and deploying machine learning systems in production environments.
  • Hands-on experience with both traditional machine learning approaches and generative AI techniques.
  • Experience with scalable backend systems that require reliability, low latency, and high availability.
  • Experience applying machine learning to real-world product challenges, ideally in consumer-facing products.
  • Experience with model evaluation approaches such as labeling workflows, red-teaming, or ground truth data generation.
  • Comfort working across disciplines with product managers, researchers, and policy partners.
  • A thoughtful, metrics-driven approach to problem solving and decision-making.
  • Commitment to building safe, responsible, and inclusive user experiences.
  • Based in New York or Boston, with flexibility for some in-person meetings and remote work.

Benefits

  • Base salary range of $184,050 to $262,928 USD per year.
  • Equity as part of the compensation package.
  • Health insurance.
  • Six months of paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off.
  • Paid flexible holidays and paid sick leave.

Interested in this position?

Apply directly on the company website

Apply Now

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