Top Tech Jobs & Startup Jobs in NYC, NY

Reposted 7 Days AgoSaved
Hybrid
New York, NY, USA
184K-263K Annually
Senior level
184K-263K Annually
Senior level
Music
The Senior Machine Learning Engineer will develop and enhance ML systems for content resolution and work on multimodal understanding involving music, video, and metadata. Responsibilities include leading ML pipeline evolution, experimentation for quality improvements, and mentoring team members.
Top Skills: BigQueryDataflowFlytePyTorchScalaScioTensorFlow
Reposted 7 Days AgoSaved
In-Office
New York, NY, USA
78K-111K Annually
Mid level
78K-111K Annually
Mid level
Music
Support corporate governance and compliance efforts at Spotify, including SEC filings, managing share-related matters, and coordinating with stakeholders.
Top Skills: Adobe AcrobatGoogle WorkspaceMS Office
Reposted 7 Days AgoSaved
Hybrid
New York, NY, USA
Senior level
Senior level
Music
The Staff Engineer will design and evolve backend, ML, and distributed data systems for Spotify's content intelligence infrastructure, ensuring scalability and reliability while mentoring team members.
Top Skills: JavaPythonScala
Reposted 7 Days AgoSaved
In-Office or Remote
New York, NY, USA
91K-131K Annually
Senior level
91K-131K Annually
Senior level
Music
As Platform Integrity Lead, you'll manage incident processes across Spotify's Ads, coordinating efforts to resolve ad serving issues, improve operations, and communicate effectively with stakeholders.
Top Skills: Crm SystemsJIRAReporting Platforms
9 Days AgoSaved
Hybrid
New York, NY, USA
Mid level
Mid level
Music
Lead planning and execution of editorial product integrations and partnership programs. Coordinate editorial, product, and regional teams; manage timelines, documentation, and stakeholder communication; create and maintain editorial assets; measure partnership and workflow performance and support adoption of tools and processes.
Top Skills: AsanaCodaJIRA
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9 Days AgoSaved
In-Office or Remote
New York, NY, USA
117K-167K Annually
Mid level
117K-167K Annually
Mid level
Music
Lead analytics for Discovery Mode's ML squad: design experiments, build evaluation frameworks, analyze model performance, produce dashboards, and translate insights into product and model improvements.
Top Skills: A/B TestingBigQueryCausal InferenceDbtMachine LearningPythonRecommendation SystemsSQL
9 Days AgoSaved
Hybrid
New York, NY, USA
148K-211K Annually
Senior level
148K-211K Annually
Senior level
Music
Lead product strategy and roadmap for conversational and AI-powered experiences at scale. Partner with engineering, design, data science, and ML to define UX, prioritize features, run experiments, and deliver measurable outcomes for millions of Spotify listeners globally.
Top Skills: AIConversational AiData ScienceExperimentationMachine LearningPersonalizationRecommendation SystemsSearch
Reposted 12 Days AgoSaved
In-Office or Remote
New York, NY, USA
184K-263K Annually
Senior level
184K-263K Annually
Senior level
Music
The role involves designing and implementing large-scale ML solutions for personalized music experiences, collaborating with cross-functional teams to enhance user interactions and fulfill music recommendations.
Top Skills: Apache BeamSparkAWSGCPGenerative AiMachine LearningNatural Language Processing
13 Days AgoSaved
Hybrid
New York, NY, USA
98K-140K Annually
Senior level
98K-140K Annually
Senior level
Music
Lead measurement strategy and research for North America advertising, consult with clients on conversion- and attribution-based measurement, design and deliver multi-source analyses and measurement studies, drive adoption of Spotifys first-party solutions, and communicate insights to Sales, Product, and external stakeholders to grow revenue.
Top Skills: Clean RoomsConversions ApiFirst-Party Measurement SolutionsMulti-Touch AttributionProgrammatic Channels
13 Days AgoSaved
In-Office or Remote
New York, NY, USA
182K-260K Annually
Expert/Leader
182K-260K Annually
Expert/Leader
Music
Lead vision, strategy, and roadmap for agentic Home experiences; decide when to evolve personalization from recommender stacks to agentic/large-model approaches; partner with ML, engineering, design, research, and data science to prototype, evaluate, and ship agentic features at scale while maintaining user trust and quality.
Top Skills: AgentsData AnalysisExperimentation/Ab TestingLarge Personalization ModelMachine LearningPrototypingRecommender Systems
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