Staff Machine Learning Engineer – Music Mission

🔥 0 minutes ago

🗽 New York, Massachusetts – Remote

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💵 $227.5k - $325k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Logo of Spotify

Spotify

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

• Define and drive the Machine Learning engineering strategy for Discovery Mode and related royalty programs • Translate product goals into scalable technical solutions • Design, build, evaluate, ship, and refine production Machine Learning systems through hands-on development • Provide technical leadership across complex ML initiatives and guide architectural and engineering decisions • Collaborate with user research, design, data science, product management, and engineering to build product capabilities connecting artists and fans • Prototype new approaches and turn successful ideas into reliable, scalable solutions for Spotify for Artists customers • Drive experimentation, optimization, testing, and tooling to improve ML system quality, reliability, and effectiveness • Partner with engineers and ML practitioners across Spotify, including Music Tech Research and Personalization, to develop approaches to music promotion • Mentor, share knowledge, and strengthen engineering practices across the broader engineering community

🎯 Requirements

• Deep experience with Machine Learning and a strong understanding of Machine Learning algorithms, modeling approaches, evaluation, and experimentation • Hands-on experience designing and implementing production Machine Learning systems at scale • Experience using languages such as Python, Java, Scala, or similar • Ability to set technical direction for complex ML problems while remaining close to implementation and delivery • Care about reliable software, data-informed development, disciplined experimentation, and building systems that perform effectively at scale • Experience leading technically complex projects from idea through production • Ability to navigate ambiguity, evaluate trade-offs, and create clarity on high-impact initiatives • Ability to communicate technical decisions and risks clearly and build alignment with senior technical leaders and cross-functional partners • Collaborative, team-first approach • Ability to work within the North America region where Spotify has a work location • Availability to collaborate within the Eastern time zone

🏖️ Benefits

• health insurance • six-month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • paid flexible holidays • paid sick leave • equity

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