Senior Staff Machine Learning Engineer

August 19

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $264.6k - $378.1k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Spotify

WebsiteLinkedInAll Job Openings

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.

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

📋 Description

• The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. • Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. • This Senior Staff Machine Learning Engineer will focus on recommender systems modeling at the intersection of generative recommenders and foundational understanding of personalization across music and talk content formats. You will work closely with a cross-functional team to define and execute the machine learning technical strategy for the product area, building the next generation of Spotify content and user representations and the technical architecture to support it. You will work as an individual contributor, offering the opportunity to shape the direction of Home loading paradigms, page serving, content filtering and content storage. • Join us and you’ll keep millions of users listening to great recommendations every day!

🎯 Requirements

• You have a strong background in machine learning and recommender systems, and you know how to bridge research and end-user impact • You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus • You have hands-on experience training and operating transformer models in production settings, or a strong interest in doing so • You enjoy leading projects from start to finish working closely with your team and peers • You are comfortable dealing with ambiguity on high impact projects • You’re a strong communicator and systems thinker who can drive alignment and influence across technical and product stakeholders • You care about agile software processes, data-driven development, reliability, and disciplined experimentation • You stay current on ML trends and are eager to apply emerging ideas to Spotify’s challenges • You’re passionate about the opportunity to enrich the listening experience for users around the world • You have extensive experience in designing system architectures that include machine learning models as key components in enabling the product experiences. • You have a strong bias to action by building MVPs, prototypes and illustrating ideas through concise documents to drive initiatives forward. • Team-first approach with developed techniques to ensure teams are happy, motivated, and productive • You enjoy leading projects from start to finish working closely with your team and peers. You are comfortable dealing with ambiguity on high impact projects • Accountable to senior tech leadership for meeting our product and technology objectives and managing expectations if those are at risk • Demonstrated success leading technical initiatives and shaping strategic directions through cross-functional collaboration. • Excellent communication skills and stakeholder management abilities; comfortable operating at the intersection of science and engineering

🏖️ Benefits

• 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