Senior Machine Learning Engineer – Artist-First AI Music Lab

🔥 17 minutes ago

🗽 New York, Massachusetts – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $184k - $262.9k / year

⏰ Full Time

🟠 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 for AI-driven music experiences • Help take ML pipelines to fully scaled, production-ready features • Apply machine learning and prompt engineering across complex ML pipelines involving large language models • Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and enable rapid iteration • Partner with music subject-matter experts to bootstrap training and reference data through synthetic generation, expert curation, and taxonomy design • Build scalable systems balancing experimentation velocity with production rigor, performance, reliability, and latency at Spotify scale • Collaborate with Data Science teams to connect evaluation frameworks with real-world usage signals and 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 new listening experiences for artists and fans

🎯 Requirements

• Experienced in applying machine learning in production environments • Hands-on experience with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production • Experience building and maintaining production ML systems using Python, Java, Scala, or similar languages • Experience building large-scale data pipelines for sourcing, preparing, and evaluating training data • Experience with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments • Ability to explain machine learning concepts, assumptions, and trade-offs to technical and non-technical audiences • Experience building user-facing products • Strong judgment around conversational AI and generative user experiences • Comfort with experimentation, iteration, and data-driven product and engineering decisions • Ability to collaborate in cross-functional teams • Must have a work location within the Eastern United States region • Must work within the EST time zone for collaboration

🏖️ 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 • equity