Spotify

Machine Learning Engineering Manager, Music Mission

Spotify

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • United States

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Salary

💰 $184,050 - $262,928 per year

About the role

  • Lead the team to enhance current Native Ads product performance by experimenting with current and new ML models
  • Participate in and challenge your team's systems architecture and modeling approaches
  • Grow the technical expertise of your team through technical leadership and advocating for sound practices
  • Identify, advocate for, and lead critical initiatives to advance technical and product performance in Native Ads
  • Manage a team of ML, DE, BE and Web engineers to develop, maintain, and own business-critical models
  • Collaborate with a multi-functional, agile team to build new product features
  • Foster a healthy, collaborative and productive engineering team in line with values
  • Develop the team’s resilience amid fast change and ambiguity

Requirements

  • strong background in statistics/ML/AI technologies and their application to consumer products
  • invested in balancing developing thriving engineers and helping teams achieve significant business impact
  • thrive in ambiguity, balancing tech health with speed of impact and learning
  • strong product intuition allows you to efficiently connect the dots between multiple systems at Spotify
  • experience or a strong interest in emerging agent technologies and generative recommender systems
  • aim to build capabilities that deliver a great, safe, and trusted experience to customers and Spotify users
  • understand the challenges of deploying and monitoring models in production, and can translate product metrics into model improvement strategies
  • a plus if you have some knowledge of Ads systems
Benefits
  • health insurance
  • six month paid parental leave
  • 401(k) retirement plan
  • monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • paid sick leave
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningartificial intelligencestatisticsmodelingdata engineeringbackend engineeringweb engineeringgenerative recommender systemsmodel deploymentmodel monitoring
Soft Skills
technical leadershipcollaborationteam managementadaptabilityproduct intuitionproblem-solvingcommunicationresilienceadvocacybalancing priorities