Machine Learning Engineering Manager II - Personalization
Description For Machine Learning Engineering Manager II - Personalization
Spotify's Personalization team is seeking a Machine Learning Engineering Manager II to lead their innovative recommendation systems team. This role sits at the intersection of cutting-edge ML technology and consumer product development, focusing on features like Discover Weekly and Blend that impact millions of users globally.
The position offers an opportunity to shape the future of music and podcast discovery at one of the world's leading streaming platforms. As an ML Engineering Manager, you'll lead a team of backend, data, and machine learning engineers while collaborating with research scientists to prototype and productize state-of-the-art machine learning solutions.
The role combines technical leadership with people management, requiring expertise in ML/AI technologies and their practical application in consumer products. You'll be responsible for developing business-aware recommendation systems while managing and mentoring a team of engineers. The position involves working with cross-functional teams and influencing senior leadership, making it ideal for someone who excels at both technical innovation and team leadership.
Working in a hybrid environment from New York, you'll be part of a global team operating in EST time zone. The compensation package is competitive, ranging from $176,000 to $252,000 plus equity, along with comprehensive benefits including health insurance, parental leave, and retirement plans.
This is an excellent opportunity for an experienced ML leader who wants to impact how millions of users discover and enjoy content while building and growing high-performing engineering teams. The role offers the perfect blend of technical challenges, leadership opportunities, and direct impact on user experience at a global scale.
Responsibilities For Machine Learning Engineering Manager II - Personalization
- Be accountable for team's delivery of engineering systems for content discovery
- Develop vision and strategy for business-aware recommendations
- Advocate for and increase knowledge of team's products across the company
- Manage engineers, including backend/data engineers and machine learning engineers
- Collaborate with product lead to define strategy, metrics and roadmaps
- Influence technical design and architecture of the team's stack
- Influence the team's research roadmap
- Collaborate with leaders to plan and execute multi-team initiatives
Requirements For Machine Learning Engineering Manager II - Personalization
- Background and significant expertise in statistics/ML/AI technologies
- Demonstrated ability to lead a team
- Strong mentorship and coaching skills
- Ability to facilitate collaboration among teams
- Skills in distilling complex information into easy-to-understand concepts
- Experience in bringing research to market as products
Benefits For Machine Learning Engineering Manager II - Personalization
- 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
- Equity
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