Machine Learning Engineering Manager II at Spotify

New York, New York, United States

Spotify Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Music StreamingIndustries

Requirements

  • Experience leading delivery of consumer-facing ML products at scale
  • Proven track record transforming innovative ideas into impactful products, energized by rapid change, ambiguity, and opportunity
  • Excited but not overhyped by the potential of Generative AI and agent technologies
  • Comfortable providing detailed technical direction and resolving complex engineering challenges
  • Thrive when developing great people and phenomenal, meaningful products
  • Experience in cultivating a strong engineering culture in an agile environment
  • Experience in people management, with the humility to realize where you’re still growing
  • Located within the EST time zone (squad based in New York City)

Responsibilities

  • Lead a talented team of ML, backend, and data engineers to build and launch innovative AI-driven personalized experiences
  • Debate and align technical strategies with senior engineering leaders and partner teams, translate these strategies clearly back to your squad
  • Actively guide architectural vision and day-to-day ML modeling and coding decisions
  • Navigate ambiguity, driving innovation through rapid prototyping and iterative development in cross-functional teams
  • Champion AI-assisted coding practices, continually expanding the team's technical capabilities
  • Foster strong research partnerships to scale innovative solutions from experimentation to production
  • Develop and grow your team's talent through hiring, coaching, mentoring, and fostering a collaborative, adaptive culture

Skills

Key technologies and capabilities for this role

Machine LearningAIGenerative AIAgentic ReasoningOrchestrationBackend EngineeringData EngineeringPrototypingAI-assisted CodingML Modeling

Questions & Answers

Common questions about this position

What is the salary range for the Machine Learning Engineering Manager II position?

The United States base range for this position is $176,166 - $251,666 plus equity.

What is the remote work policy for this role?

The role offers flexibility to work where you work best within the EST time zone, with the squad based in New York City and operating within the Eastern Standard time zone for collaboration.

What skills and experience are required for this ML Engineering Manager role?

Candidates need experience leading delivery of consumer-facing ML products at scale, providing detailed technical direction, navigating ambiguity with rapid prototyping, championing AI-assisted coding, and people management in an agile environment.

What benefits are offered for this position?

Benefits include health insurance, six months paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and paid sick leave.

What makes a strong candidate for this ML Engineering Manager role?

Strong candidates have a proven track record transforming innovative ideas into impactful products, thrive in developing great people and fostering a collaborative culture, and bring experience cultivating engineering culture in agile environments.

Spotify

Digital music streaming service with podcasts

About Spotify

Spotify provides a digital music streaming service that allows users to access millions of songs and podcasts from various artists and creators. Users can choose between a free plan, which includes advertisements, and a premium subscription that offers an ad-free experience along with features like offline listening and higher sound quality. This tiered model caters to different user preferences and budgets. Spotify generates revenue through subscription fees from premium users and advertising from the free tier. Unlike its competitors, Spotify stands out with its extensive music library, user-friendly interface, and personalized playlists. The company's goal is to connect listeners with a wide range of audio content while supporting artists and advertisers.

Stockholms kommun, SwedenHeadquarters
2006Year Founded
$2,004.2MTotal Funding
IPOCompany Stage
Consumer Software, EntertainmentIndustries
10,001+Employees

Benefits

Extensive learning opportunities, through our dedicated team, GreenHouse
Global parental leave, six months off - fully paid - for all new parents
Flexible public holidays, swap days off according to your values and beliefs
Flexible share incentives letting you choose how you share in our success
All The Feels, our employee assistance program and self-care hub
Spotify On Tour, join your colleagues on trips to industry festivals and events

Risks

Accidental display of adult content may harm Spotify's reputation.
Creating its own music to avoid royalties could lead to legal issues.
Layoffs may affect Spotify's operational efficiency and employee morale.

Differentiation

Spotify offers a vast library of music and podcasts globally.
The platform's user-friendly interface enhances user experience and engagement.
Spotify's personalized playlists cater to individual user preferences.

Upsides

Spotify's AI-powered Wrapped feature enhances user engagement and personalization.
Expansion into political podcasting taps into new audience segments.
Growing podcast popularity in Africa presents expansion opportunities for Spotify.

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