Machine Learning Engineer, Artist-First AI Music Lab

🕒 June 9

🗽 New York – Remote

🗽 New York – Remote

💵 $138.3k - $197.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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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

• Design, build, evaluate, and improve machine learning training and inference pipelines that power new AI-driven music experiences and help take them to fully scaled production-ready features. • Apply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language models. • Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and build fast feedback loops that enable rapid and confident iteration. • Partner with music subject-matter experts to bootstrap training and reference data, including synthetic generation, expert curation, and taxonomy design. • Build scalable systems that balance experimentation velocity with production rigor, ensuring strong performance, reliability, and latency at Spotify scale. • Collaborate closely with Data Science teams to connect evaluation frameworks with real-world usage signals and continuously improve model quality. • Contribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructure. • Work cross-functionally with engineering, product, design, and music industry partners to shape entirely new listening experiences for artists and fans.

🎯 Requirements

• Experienced in applying machine learning in production environments. • You have hands-on experience working with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production. • You have experience building and maintaining production ML systems using Python, Java, Scala, or similar languages. • You are experienced in building large-scale data pipelines for sourcing, preparing, and evaluating training data. • You have worked with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments. • You are comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical audiences. • You have experience building user-facing products and strong judgment around conversational AI and generative user experiences. • You care deeply about experimentation, iteration, and using data to guide product and engineering decisions. • You thrive in collaborative, cross-functional teams that move quickly, experiment often, and continuously learn.

🏖️ 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