ML Engineering Manager: Safe & Scalable Personalization

Visa Hunt; United States; Hybrid; USD 184,050 - 262,928; Full time

Benefits offered by this job

Health insurance

Six-month parental leave

401(k)

Meal allowance

Paid time off

Paid holidays

Paid sick leave

Job summary

Spotify is seeking a machine learning engineer to design and operate safety-focused ML systems across personalized surfaces such as recommendations and search. You will contribute to scalable safety platformization and work with both traditional ML models and generative AI, including integrating external and in-house models.

The role emphasizes collaboration with Product, Trust & Safety, and Content Platform, plus a rigorous, metrics-driven approach to improve performance, safety outcomes, and

Qualifications

• Experience building and deploying ML systems in production environments.
• Hands-on experience with traditional ML approaches and generative AI techniques.
• Experience with scalable backend systems requiring reliability and low latency.
• Ability to apply ML solutions to real-world product challenges, especially consumer-facing.
• Experience with model evaluation methods such as labeling workflows and ground-truth data generation.

Responsibilities

• Design, build, and improve ML systems powering safety in personalization surfaces.
• Contribute to platformization of safety systems for scalability and reuse.
• Develop and operate high-throughput, low-latency backend services.
• Collaborate with Product, Trust & Safety, and Content Platform to translate safety needs into technical solutions.
• Work on traditional ML models and generative AI, including integration of third-party and in-house models.
• Contribute to evaluation frameworks and ground-truth creation.
• Work with foundational model teams to embed safety into LLM-based experiences.
• Use metrics and experiments to improve system performance and user experience.

Skills

Production ML

Generative AI

Low latency

Consumer products

Model evaluation

Job description

Spotify is seeking a machine learning engineer to design and operate safety-focused ML systems across personalized surfaces such as recommendations and search. You will contribute to scalable safety platformization and work with both traditional ML models and generative AI, including integrating external and in-house models.

The role emphasizes collaboration with Product, Trust & Safety, and Content Platform, plus a rigorous, metrics-driven approach to improve performance, safety outcomes, and