[Remote] Machine Learning Engineering Manager, Personalization

Note: The job is a remote job and is open to candidates in USA. Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineering Manager for their Personalization team. This role involves leading a team of engineers to develop and enhance machine learning models that personalize user experiences, ensuring high-quality recommendations for millions of listeners.

Responsibilities

• Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture
• Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities
• Guide the design, development, deployment, and operation of production machine learning systems at scale
• Support engineers through technical mentorship, career development, performance management, and regular feedback
• Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery
• Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence
• Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization
• Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value

Skills

• You have experience leading and developing high-performing engineering teams
• You have built trust through coaching, mentoring, and supporting engineers in their career growth
• You have deep expertise building and operating production machine learning systems at scale
• You understand the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring
• You are experienced working with modern machine learning techniques, including large language models and generative AI applications
• You communicate effectively across engineering, product, and data science partners
• You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive
• You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes

Benefits

• Plus equity
• 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
• We offer you the flexibility to work where you work best! For this role, you can be within the Eastern Standard time zone.

Company Overview

Company H1B Sponsorship