Spotify

Machine Learning Engineer

• Define and drive the machine learning technical strategy for Spotify Home, spanning retrieval, ranking, page composition, layout optimization, and real-time personalization
• Work at the intersection of recommender systems, generative models, and user intent understanding to deliver highly adaptive and engaging Home experiences
• Lead hands-on development of ML models and systems, from prototyping new ideas to productionizing solutions at global scale
• Provide senior-level technical leadership across multiple teams, influencing architecture, modeling choices, and long-term investments
• Design, build, evaluate, ship, and iterate on large-scale ML systems that directly power Home for hundreds of millions of users
• Partner closely with product, design, and user research to translate UX goals and user needs into robust ML systems
• Drive best practices in experimentation, offline/online evaluation, model lifecycle management, and reliability
• Help evolve Home toward more contextual, generative, and intent-aware experiences, leveraging transformers, sequence models, and emerging techniques
• Collaborate with platform and foundation teams to effectively leverage shared models and infrastructure while tailoring solutions to Home’s unique needs
• Mentor senior engineers and influence technical standards through thoughtful reviews, documentation, and architectural guidance
• Act as a technical ambassador for Home within Spotify’s broader ML community, staying current with research and industry trends

Senior Staff Machine Learning Engineer

Content Marketing Manager

• Craft user-facing microcopy across on Spotify for Artists that help artists understand and grow their audience
• Design prompts and system responses for AI-assisted workflows, shaping user input, tone, and fallback messaging
• Drive terminology and glossary alignment across product surfaces, ensuring consistency and scalability
• Partner with product design, PM, engineering, and research to align on UX strategy and product outcomes
• Build out design system efforts by documenting reusable content patterns, naming conventions, and component guidance
• Engage in critique, async reviews, and content syncs with other content designers across the mission

Content Designer, Music Mission

Full-stack Engineer

• Become a valued member of an autonomous, multi-functional team. Use your experience of the frontend to design intelligent solutions that include front-end and back-end systems
• Develop and maintain features with TypeScript, React and NodeJS
• Take operational responsibility for the services that are owned by your team, potentially including taking part in an on-call rotation
• Work in an environment that supports your individual growth
• Collaborate closely with not only product and design partners, but also marketing, business development, customer success, and sales
• Promote sound engineering practices, drive work on technical strategy and roadmaps
• Deliver high-impact and high-visibility projects with the fast paced style of a startup, supported by the resources of a global company

Fullstack Engineer – Backstage

Backend Engineer

• Work closely with backend, iOS, and Android engineers to build new services
• Act as a thought partner to Product Managers and Designers
• Deliver high-quality technical solutions on time
• Collaborate with key internal partners and stakeholders to design backend systems and APIs

Backend Engineer – Subscriptions

Data Engineer

• Design, build, and evolve scalable data pipelines and systems that ensure financial accuracy and integrity at scale.
• Explore and apply Spotify’s Data and AI ecosystem to solve engineering problems and improve developer efficiency.
• Partner closely with Finance and Audiobooks stakeholders to understand their needs and deliver financially impactful features.
• Deep-dive into the Audiobooks royalties domain and support feature development across reporting and payout workflows.
• Contribute to design discussions, architectural decisions, code reviews, and team-wide engineering practices.
• Lead the delivery of small projects or workstreams within your first months on the team.
• Continuously evaluate and improve the team’s tools, quality standards, and ways of working.

Data Engineer II

• Build tailored, data-supported learning experiences that match advisor performance indicators and apply the Advisor Skills Matrix to offer precise development at a wide-reaching level.
• Develop AI-assisted, simulation-based learning and bot-led training experiences to mirror real customer interactions and strengthen advisor confidence in complex, judgment-based scenarios.
• Incorporate advisor assist technologies into learning design, helping advisors master new tools and workflows that enable faster, more accurate customer resolutions.
• Create content across a range of formats, including micro-learning, video, gamified challenges, and just-in-time modules, to keep learning engaging and adaptive to different learning styles.
• Use generative AI and emerging tools to streamline content development, personalize experiences, and scale high-quality learning efficiently.
• Partner with our global training team, operations, and stakeholders to embed learning into the advisor lifecycle, from onboarding through continuous upskilling and re-skilling.
• Support the integration of the Advisor Skills Matrix and learning-performance dashboards into the broader coaching framework, ensuring data directly informs learning priorities.
• Collaborate with site trainers to empower strategic thinking to facilitate simulations, coach critical thinking, and guide human-AI collaboration.
• Help shape new skilling pathways for advisors that support growth into specialized, white glove, roles.
• Contribute to building an integrated learning platform and ecosystem that connects content, data, and coaching tools for a flawless, personalized learning experience.
• Conduct ongoing needs analysis to identify skill gaps, emerging training requirements, and opportunities to align learning initiatives with operational goals.
• Analyze learning outcomes and performance data to iterate and improve content, ensuring training drives measurable improvements in advisor performance.
• Contribute to the development and enhancement of learning analytics dashboards that connect training initiatives to business results.

Specialist, CS Content and Design – 18m Fixed Term Contract

• Work with modern data processing frameworks, platforms, and tooling to build, operate and own reliable data pipelines and systems
• Take ownership of existing financial and forecasting datasets, evolving schemas and data models
• Partner closely with engineers, product managers, and finance stakeholders
• Improve automated financial controls ensuring data quality and compliance
• Work in cross-functional, agile teams with end-to-end responsibility for data products

Data Engineer – Financial Engineering

• Build, operate, and evolve data analytics platform that includes backend services as well as OLAP data store (Druid) for teams building analytics across Spotify.
• Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform.
• Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability.
• Work in an autonomous, mult-functional environment and collaborate with squads across Spotify to continuously iterate and deliver on new product objectives.

Backend Engineer – Data Infrastructure

• Join a collaborative and autonomous team of engineers dedicated to improving the mobile app architecture at Spotify
• Implement and maintain isolation strategies for SEM (Software Ecosystem Model) conformance within repositories and across multiple repositories, ensuring that systems are designed to be developed and tested in isolation to improve build performance and reduce interdependencies.
• Enable flawless interoperability between Kotlin/Java and C++ within the Android codebase, demonstrating modern language capabilities to enhance software development efficiency and maintainability.
• Use established service systems (from platform or in-house solutions) to manage application services and their lifecycles effectively, ensuring that services are robust, scalable, and maintainable.
• Guide the composition of the app by thoughtfully integrating and using features and building blocks sourced from various parts of the organization, with a focus on improving product quality through foundational building blocks.
• Promote sound engineering practices, drive work on technical strategy and roadmaps.

Senior C++ Engineer – Platform Engineering

• develop Backstage powered UIs with TypeScript and React
• build Node.js backend services integrating dataset discovery
• maintain connectors syncing datasets and metadata
• partner with Portal customers to identify pain points
• lead projects from ideation through to customer support