Spotify

Machine Learning Engineer

• design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels
• plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability
• contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions
• partner with product managers, data scientists, and engineers to define what success looks like and how to measure it
• own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration
• integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks
• help shape the future of AI-assisted development within the team, exploring how tools can accelerate experimentation and delivery

Senior Machine Learning Engineer – Messaging Platform

• Design and ship production-grade machine learning systems powering conversational and agentic AI experiences
• Build systems that interpret user intent, manage context across multi-turn interactions, and handle ambiguity reliably at scale
• Develop and evolve agentic workflows including memory, context management, and multi-step tool orchestration
• Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and guide iteration
• Partner closely with product, engineering, and design to deliver seamless, user-facing experiences
• Balance experimentation with production rigor, ensuring performance, latency, and reliability at Spotify scale
• Continuously improve agent behavior through tight feedback loops between evaluation and real-world usage

Senior Machine Learning Engineer, Personalization

• Build and scale machine learning systems that generate deep understanding of content across modalities
• Develop models for classification, tagging, semantic understanding, and content enrichment
• Create high quality content enrichment at scale using LLMs and agentic systems
• Design systems that make content intelligence signals available to downstream teams and products
• Improve automation for content quality, safety, and metadata enrichment at scale
• Collaborate with product, policy, and engineering teams to translate content intelligence into user impact
• Contribute to evaluation frameworks, data pipelines, and annotation systems
• Support rapid experimentation to prototype and launch new types of content signals
• Help improve system reliability, scalability, and performance across large datasets

Staff Machine Learning Engineer – Content Intelligence

Marketing

• Design + Produce: Create, adapt, and refine sales collateral, presentations, digital ads, landing pages, and other marketing materials that communicate Spotify Advertising’s story.
• Collaborate: Work closely with designers, brand strategists, marketers, and cross-functional partners to deliver creative assets that are both on-brand and on-brief.
• Optimize: Ensure all deliverables are production-ready and optimized for digital formats, responsive layouts, and diverse global markets.
• Maintain Brand Excellence: Uphold the Spotify visual identity while exploring new, innovative ways to express the brand across advertising touchpoints.
• Manage Multiple Projects: Balance multiple deadlines while maintaining quality, consistency, and attention to detail.
• Contribute to Team Growth: Share knowledge, best practices, and inspiration to help elevate the broader creative team.

Designer, Brand and Marketing

• Build and scale machine learning systems for proactive content detection, classification, and pre-publish safety scanning
• Design and implement policy evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
• Develop multimodal models that combine text, audio, image, and video signals for safety and policy enforcement
• Architect feedback loops that turn human reviewer input into structured training data for continuous model improvement
• Translate regulatory requirements (e.g., precision/recall obligations, compliance reporting) into scalable ML system designs
• Partner with cross-functional teams across Trust & Safety, Legal, Public Affairs, and Product to deliver safe user experiences
• Drive technical direction in ambiguous problem spaces and contribute to long-term platform architecture
• Mentor and support other machine learning engineers, helping raise the bar across the team

Staff Machine Learning Engineer – Policy & Safety

• Design, build, evaluate, and ship agentic based features and interactive experiences to bring our products to the next level
• Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways
• Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
• Promote and role-model best practices of ML systems development, testing, evaluation both inside the team as well as throughout the organization
• Actively contributed to a strong community of machine learning practitioners at Spotify

Senior Machine Learning Engineer – Personalization

Backend Engineer

• Design, build, and ship backend services that power LLM-based music fulfilment experiences, giving users more adaptive control over their listening
• Build and maintain the APIs and distributed systems behind prompted playlist experiences, session generation, and agentic music products
• Collaborate with cross-functional partners across user research, design, data science, product, and ML engineering to build new product features that connect artists and fans in personalized and meaningful ways
• Be a technical leader and valued contributor in an autonomous, cross-functional agile team
• Prototype new approaches and productionize solutions at scale for hundreds of millions of active users
• Contribute to the Spotify-wide backend developer community, affecting and driving architecture across the company
• Promote best practices in backend system design, testing, and deployment across the organization

Senior Backend Engineer – Personalization

• design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
• own and lead key technical initiatives across detection, classification, and policy evaluation systems
• develop and maintain ML models for content moderation, including multimodal and LLM-based systems
• build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
• drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
• collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
• provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
• represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Senior Machine Learning Engineer – Policy & Safety

• Contribute to designing, building, evaluating, and improving machine learning models that power personalization across the subscription funnel
• Work closely with a cross-functional team of engineers, data scientists, product managers, designers, and researchers to ship impactful features
• Prototype new machine learning approaches and scale them to production for hundreds of millions of users
• Help optimize experimentation frameworks, testing strategies, and tooling to improve model quality and reliability
• Build and maintain robust data pipelines and production-ready ML systems
• Participate in knowledge sharing within the machine learning community across Spotify
• Contribute to improving how we personalize messaging, offers, and user journeys across discovery and conversion surfaces

Machine Learning Engineer – Subscriptions

• Bring Spotify’s brand to life through live experiences, brand activations, and culturally relevant campaigns across Central Europe
• Support the execution of integrated marketing campaigns from idea through launch and retrospective
• Use audience insights and cultural trends to shape locally relevant and engaging marketing initiatives
• Partner closely with Music, Podcasts, Comms, and Global Marketing teams to deliver cohesive campaigns
• Coordinate with external agencies and partners, managing briefs, timelines, and creative output
• Act as a key contact for global campaigns and partnerships, ensuring strong local market execution
• Build presentations and campaign plans, and contribute to post-campaign analysis and learnings
• Stay on top of cultural moments and trends, helping the team respond in real time with meaningful brand participation

Marketing Manager, Brand Experience

Business Development Rep

• Partner with Business Development teams to support partnerships that enable Spotify distribution across platforms, devices, and services
• Draft, review, and negotiate a wide range of commercial agreements, including technology, AI, hardware, and distribution partnerships
• Provide clear, practical legal guidance on complex deal structures, risks, and regulatory considerations
• Collaborate with cross-functional partners across finance, accounting, and licensing to support agreement execution and implementation
• Translate legal concepts into clear guidance that informs business strategy and decision-making
• Help improve and scale contract templates, processes, and ways of working to support global growth
• Support teams in navigating internal policies, approval processes, and evolving legal frameworks

Legal Counsel – Licensing, Business Development

• Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale
• Own and lead key technical initiatives across detection, classification, and policy evaluation systems
• Develop and maintain ML models for content moderation, including multimodal and LLM-based systems
• Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops
• Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems
• Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs
• Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization
• Represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Executive Assistant

• Manage complex and fast-moving calendars across multiple time zones, helping leaders stay focused on the highest-impact work
• Prepare for meetings by building agendas, gathering materials, and capturing clear notes and next steps
• Coordinate team meetings, trainings, and internal events, ensuring everything runs smoothly end-to-end
• Lead logistics for external events, working closely with travel, IT, and venue partners
• Support inbox management, including prioritizing messages, drafting responses, and tracking follow-ups
• Keep track of key priorities, projects, and deadlines, acting as a central point of coordination for the team
• Arrange business travel, including flights, accommodations, and detailed itineraries
• Manage expense reporting and review team expenses in line with internal policies
• Take on special projects and improve workflows that help the team operate more effectively
• Represent Spotify in interactions with guests and external partners with professionalism and care

Executive Assistant – Trust & Safety, Government Affairs

Engineering Manager

• Lead and support a team that includes engineering managers and senior engineers, helping leaders grow and scale their impact
• Set clear technical and organizational direction across multiple teams, aligning with mission and company priorities
• Drive delivery across complex, distributed systems spanning Music, Ads, and Personalization
• Stay close to the technology. Contributing to architecture, system design, and critical technical decisions
• Partner with product, data science, and design to shape strategy and long-term direction
• Navigate ambiguity in machine learning systems, including debugging, experimentation, and incident response
• Build strong cross-mission relationships and influence decisions across teams and disciplines
• Identify risks early, remove organizational blockers, and ensure accountability at all levels
• Foster a culture of ownership, technical excellence, and continuous learning

Senior Engineering Manager – Native Ads

Communications

• spot emerging trends across music, culture, and consumer behavior, and turn them into timely, relevant stories that highlight Spotify’s role in shaping audio experiences
• translate product features, launches, and listening insights into clear, compelling narratives for consumer, lifestyle, and tech audiences
• develop and pitch proactive story ideas to media and creators across traditional press and digital platforms
• build and maintain strong relationships with journalists, influencers, and cultural voices covering music, technology, and internet trends
• partner with product, marketing, and insights teams to identify storytelling opportunities tied to user behavior, fandom, and discovery
• craft narratives that make Spotify’s product ecosystem feel accessible, engaging, and culturally relevant
• collaborate with social and editorial teams to extend earned stories into social-first formats across platforms like Instagram, TikTok, and X
• support communications strategies around key cultural moments, product updates, and launches

Senior Machine Learning Engineer – Messaging Platform

Senior Machine Learning Engineer, Personalization

Staff Machine Learning Engineer – Content Intelligence

Designer, Brand and Marketing

Staff Machine Learning Engineer – Policy & Safety

Senior Machine Learning Engineer – Personalization

Senior Backend Engineer – Personalization

Senior Machine Learning Engineer – Policy & Safety

Machine Learning Engineer – Subscriptions

Marketing Manager, Brand Experience

Legal Counsel – Licensing, Business Development

Senior Machine Learning Engineer – Policy & Safety

Executive Assistant – Trust & Safety, Government Affairs

Senior Engineering Manager – Native Ads

Communications Manager, Consumer Product – Culture