Machine Learning Engineering Manager II

🔥 0 minutes ago

🗽 New York, Massachusetts – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

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This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• Lead and grow a team of machine learning, backend, and data engineers • Support engineers' development and help them deliver their best work • Shape the team's technical strategy and execution • Guide development of machine learning and recommendation systems balancing multiple objectives across personalized listening experiences • Collaborate with Product and engineering partners to define priorities and align on outcomes • Translate complex challenges into clear plans • Support technical decisions involving experimentation, scalability, system reliability, and model performance • Create a culture of ownership, collaboration, and continuous improvement • Drive effective planning and delivery while balancing immediate priorities with long-term technical health • Foster an inclusive, supportive team environment through coaching, feedback, and people leadership

🎯 Requirements

• Experience managing and developing engineering teams • Track record of helping people grow and delivering impactful results • Strong technical background in machine learning, software engineering, or related areas • Ability to guide technical conversations • Understanding of developing and operating machine learning systems in production • Experience working with cross-functional partners to define priorities, navigate trade-offs, and deliver shared goals • Ability to lead teams through ambiguity and help engineers make informed technical decisions • Commitment to inclusive, collaborative environments • Clear communication and empathetic leadership • Ability to balance people, technology, and business needs • Ability to work within the Eastern Standard time zone for collaboration • Must be located within the North Americas region where Spotify has a work location

🏖️ Benefits

• Equal opportunity employer • Reasonable accommodations during the interview and application process • Flexible work location within the North Americas region where Spotify has a work location • Inclusive, supportive team environment • Coaching, feedback, and professional development through people leadership

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