Machine Learning Engineering Manager leading the Native Ads team at Spotify. Driving product performance and engineering initiatives for music promotion products.
Responsibilities
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
Job title
Machine Learning Engineering Manager, Music Mission
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