Spotify ML Engineering Jobs
Open ml engineering roles at Spotify, pulled live from their hiring system.
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63% of open ml engineering roles call out Machine Learning; PyTorch and Python appear in roughly a third. 74% of these ml engineering roles are fully remote.
Senior Machine Learning Engineer - Enrichment & Content Intelligence
As a Senior Machine Learning Engineer, you will evolve large-scale ML pipelines and multimodal embedding frameworks to power Spotify's content-resolution systems. You will improve entity-resolution across music and video content, design experiments, and build scalable ML evaluation and monitoring infrastructure.
Staff Engineer - Content Intelligence Infrastructure
As a Staff Engineer, you will lead the design and evolution of data, backend, and ML infrastructure systems for Spotify's Content Intelligence Product Area. You will build scalable infrastructure for multimodal content processing and drive architectural decisions across distributed systems and AI-enabled platform capabilities.
Senior Machine Learning Engineer, Personalization, Rewards
Develops and scales reinforcement learning models for LLM-powered recommendation systems at Spotify, focusing on long-term user satisfaction metrics like retention. Collaborates on prototyping, pipelines, A/B tests, requiring RL expertise for recommendations.
Machine Learning Engineer I, Personalization , Minesweeper
Builds scalable ML systems using LLMs for content enrichment in music, podcasts, and audiobooks. Collaborates cross-functionally on model development, data pipelines, and product features at Spotify.
Senior Machine Learning Engineer, Personalization, Magenta
Designs and ships production ML systems for conversational AI personalization at Spotify, focusing on user intent interpretation, agentic workflows, context management, and scalable evaluation frameworks. Requires 5+ years experience with LLMs and production ML.
Staff Machine Learning Engineer - Policy & Safety
Builds and scales ML systems for content moderation, policy enforcement, and safety scanning on Spotify. Develops multimodal models combining text, audio, image, video; architects feedback loops and evaluation frameworks for production-grade deployment.
Staff Machine Learning Engineer - Content Intelligence
Builds and scales ML systems for content understanding across audio, video, text, and images at Spotify. Develops models for classification, tagging, semantic analysis, and enrichment using LLMs, enabling automation, quality, and new product features.
Senior Machine Learning Engineer - Policy & Safety
Designs, builds, and deploys production ML systems for content safety, moderation, and policy enforcement at Spotify scale. Leads technical initiatives, develops multimodal/LLM models, and collaborates with Trust & Safety, Legal teams on safety-critical systems.
Senior Machine Learning Engineer, Personalization, Music Understanding
Designs and deploys LLM-based ML systems for personalized music recommendations, playlist generation, and session experiences at Spotify scale. Requires expertise in ML, NLP, generative AI, and large-scale data processing tools.
Machine Learning Engineer - Personalization
Develops and scales ML reward signals for Spotify's recommendation systems like playlists and search. Leads cross-team collaborations, A/B testing, and best practices in production ML systems using transformers, generative AI, and distributed frameworks.
Senior Staff Machine Learning Engineer - Agentic Systems
Leads technical architecture and development of Spotify's Agent Engine for agent-based experiences across platforms like DJ, Search, and AI Playlists. Requires expertise in production AI systems, LLMs, system design, infrastructure, and cross-team collaboration in ambiguous environments.
Machine Learning Engineer, Personalization
Build and optimize machine learning systems for personalized recommendation ranking and sequencing at scale, balancing user satisfaction and business goals. Requires 5+ years in ML/data/backend with experience in recommendation systems and production deployment.
Staff Machine Learning Engineer
Develops, scales, and integrates ML systems for Spotify's recommendation reward signals, focusing on sequential models, transformers, and generative AI. Collaborates across teams to prototype, evaluate, and A/B test in production using PyTorch, Python, and distributed frameworks.
Machine Learning Engineer
Build and optimize machine learning models to predict and enhance promotional performance for music tracks globally. Collaborate with data and ML teams to productionize scalable systems using Python, TensorFlow, PyTorch, and GCP.
Machine Learning Engineer
Develops and scales ML systems for Spotify's recommendation reward signals, focusing on sequential models, transformers, generative AI, and production deployment. Collaborates with scientists and engineers on A/B testing and best practices.
Senior Staff Machine Learning Engineer
Senior Staff ML Engineer leads technical strategy for generative recommender systems and personalization modeling at Spotify. Builds scalable ML solutions using Python/Java/Scala and transformer models, collaborating cross-functionally to enhance user recommendations.