Top Tech Jobs & Startup Jobs in NYC, NY

Own and improve production-scale ML models and systems for Spotify Home feed and Shortcuts. Build personalized recommendations and LLM-powered experiences, train and fine-tune LLMs, run A/B tests, optimize inference and cost, and improve ML platform, data pipelines, and production infrastructure at scale.

This role involves building and scaling machine learning systems for content understanding, improving quality, and collaborating with cross-functional teams to enhance user experience on Spotify.

Define and own the quality bar for Spotify's AI voice models. Design repeatable evaluation rubrics and run qualitative and MOS-style campaigns. Benchmark against competitors, synthesize findings, recommend improvements, and partner with voice, ML, product, and vendor teams to influence research and production priorities across languages and use cases.

Lead Paid Revenue accounting for Premium, Partner, and Other Paid Revenues within the OTC process. Prepare and review month-end journals, reconciliations, analytics, and SOX-compliant reporting under IFRS. Drive process improvements, lead cross-functional efficiency projects, support new business accounting, coordinate onshore/offshore teams, and assist system implementations and ad hoc analyses.

Lead analytics for the Discovery Mode ML squad: design experiments, build evaluation frameworks, analyze model performance, create dashboards tracking model health and customer metrics, and translate findings into actionable product and engineering improvements.

Conduct research in machine learning focusing on AI, develop models, design experiments, collaborate on product ideas, and mentor researchers.

The role involves building and scaling machine learning systems for content moderation, designing evaluation frameworks, and developing multimodal models for policy enforcement, while mentoring other engineers.

The role involves designing and deploying machine learning systems for content safety at Spotify, collaborating with various stakeholders, and providing technical leadership.

Manage a team of 7–8 engineers building RightsDB and related rights systems. Own roadmap, delivery, platform operations, cross-functional partnerships, mentorship, and scaling content ingestion and compliance workflows for rights-protected and UGC content.

The Frontend Engineer II will build and maintain the Spotify Rights Center application, collaborate with teams, manage complex data flows, and ensure high-quality user experiences through modern coding practices.