Staff Machine Learning Engineer - Music Mission

Spotify
New York, Boston
Workplace: RemoteFull timeUSD 227,495 - 324,993Function: Data Science & Machine LearningSkills: ["Technical leadership","Mentorship","Collaboration","Experimentation","Communication"]

Own the Machine Learning engineering strategy for Spotify’s Discovery Mode and music creator royalty programs. Build, evaluate, and ship scalable production ML systems, providing technical leadership and guiding complex architectural decisions. Partner across user research, design, data science, product, and engineering to deliver promotional tools for Spotify for Artists, driving experimentation, optimization, and tooling that improve quality and reliability at scale.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Spotify
Spotify
2 weeks ago

Staff Machine Learning Engineer - Music Mission

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own the Machine Learning engineering strategy for Spotify’s Discovery Mode and music creator royalty programs. Build, evaluate, and ship scalable production ML systems, providing technical leadership and guiding complex architectural decisions. Partner across user research, design, data science, product, and engineering to deliver promotional tools for Spotify for Artists, driving experimentation, optimization, and tooling that improve quality and reliability at scale.
Location: New York, Boston
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and drive the machine learning engineering strategy for Discovery Mode and related royalty programs by translating product goals into scalable technical solutions.
  • •Design, build, evaluate, ship, and refine production machine learning systems through hands-on development.
  • •Provide technical leadership across complex ML initiatives, guiding architectural and engineering decisions while balancing priorities.
  • •Collaborate with user research, design, data science, product management, and engineering to create new product capabilities for artists and fans.
  • •Drive experimentation, optimization, testing, and tooling to improve quality, reliability, and effectiveness of ML systems.

Pay and Benefits

Salary: USD 227,495 - 324,993
Perks:Health InsuranceParental Leave401kMeal AllowancePaid LeaveFlexible Holidays

Key Requirements

  • •Deep experience with machine learning, including algorithms, modeling approaches, evaluation, and experimentation.
  • •Hands-on experience designing and implementing production machine learning systems at scale using Python, Java, Scala, or similar.
  • •Ability to set technical direction for complex ML problems while staying close to implementation and delivery.
  • •Strong focus on reliable software, data-informed development, disciplined experimentation, and scalable system performance.
  • •Comfort leading technically complex projects from idea through production and collaborating cross-functionally.
Skills:Technical leadershipMentorshipCollaborationExperimentationCommunication
Tech Stack:PythonJavaScalaMachine Learning

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
WebsiteLinkedInGlassdoor