Spotify - Machine Learning Engineering Manager, Music Mission
Requirements
• 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, making the appropriate trade-offs based on metrics, quality, performance and cost, aligned with the team’s tech strategy • 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 that serve the Music Promotion business • Collaborate with a multi-functional, agile team, spanning user research, design, data science, product management, and engineering to build new product features that advance our mission • Foster a healthy, collaborative and productive engineering team in line with our values • Develop the team’s resilience amid fast change and ambiguity, supporting the team in building confidence in products and tech through prototyping and experimentation • Grow people and the team through hiring, coaching, mentoring, feedback, process and continuous improvement efforts • You have a strong background in statistics/ML/AI technologies and their application to consumer products • You are invested in balancing developing thriving engineers and helping teams achieve significant business impact • You thrive in ambiguity, balancing tech health with speed of impact and learning, and are able to help a team incorporate new information as it emerges • Your strong product intuition allows you to efficiently connect the dots between multiple systems at Spotify • You have experience or a strong interest in emerging agent technologies and generative recommender systems • You aim to build capabilities tha deliver a great, safe, and trusted experience to our customers and Spotify users • You 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 • This role is based in New York • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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, making the appropriate trade-offs based on metrics, quality, performance and cost, aligned with the team’s tech strategy • 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 that serve the Music Promotion business • Collaborate with a multi-functional, agile team, spanning user research, design, data science, product management, and engineering to build new product features that advance our mission • Foster a healthy, collaborative and productive engineering team in line with our values • Develop the team’s resilience amid fast change and ambiguity, supporting the team in building confidence in products and tech through prototyping and experimentation • Grow people and the team through hiring, coaching, mentoring, feedback, process and continuous improvement efforts
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