About the Role
We in the Machine Learning product area in the Activation, Retention, Conversion studio are focused on building robust and scalable machine learning solutions that can personalize activation, retention, and conversion funnels to improve important business metrics like SUBS and MAU. Through our messaging platform as well as other discovery & conversion surfaces, we communicate with users to connect them with valuable audio content and to help the business grow.
Our vision is to build the machine learning models and infrastructure that offers a fully personalized and ML-optimized experience for listeners throughout their user journey that powers every messaging and conversion campaign at Spotify.
This role sits in a squad called White Mouse that owns the optimization of plan upsell targeting across Spotify. Our key problem areas are: What plan should the user be upsold on discovery surfaces? How should we communicate with the user on consideration surfaces? How should we balance upselling plans vs other paid products?
What You'll Do
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development.
- Collaborate with a multi-functional agile team 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 relevant ways.
- Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.
- Help drive optimization, testing, and tooling to improve quality.
- Be part of an active group of machine learning practitioners in your mission and across Spotify.
Who You Are
- You have a strong background in machine learning, theory, and practice.
- You are comfortable explaining the intuition and assumptions behind ML concepts.
- You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages.
- Experience with TensorFlow is also a plus.
- You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models.
- You preferably have experience with cloud platforms like GCP or AWS.
- You care about agile software processes, data development, reliability, and focused experimentation.
- You have a desire to drive business impact.
Where You'll Be
This role will be located in our London or Stockholm office.
Similar jobs
Last update: 23 minutes ago
Senior Machine Learning Engineer - Platform
Senior ML Engineer at Spotify, NY. Develop ML serving platforms, collaborate on projects, design solutions. Python, TensorFlow, PyTorch skills needed.
Senior Machine Learning Engineer
Join Epidemic Sound as a Senior Machine Learning Engineer to enhance search and discovery with ML in Stockholm.
Data Scientist - Play X at Spotify
Join Spotify as a Data Scientist in Stockholm, enhancing audio/video playback experiences with data-driven insights.
Backend Engineer II, Compliance Engineering
Join Spotify as a Backend Engineer II in Compliance Engineering, focusing on scalable solutions for compliance and security.
Backend Engineer, Content Understanding
Join Spotify as a Backend Engineer in Content Understanding, focusing on APIs, cloud infrastructure, and data systems.
Backend Engineer II - Amplify at Spotify
Join Spotify as a Backend Engineer II in New York, enhancing ad technologies with skills in Java, Scala, Python, and API development.
Senior Fullstack Engineer - Spotify
Senior Fullstack Engineer at Spotify, NY. Expertise in JavaScript, TypeScript, React, Node, Scala, Java. Leading developer experience initiatives.
Backend Engineer II
Join Spotify as a Backend Engineer II to build innovative in-app experiences. Work with Java, AWS, and GCP.
Machine Learning Engineer II - Search Science & AI
Join Amazon as a Machine Learning Engineer II to enhance search relevance using advanced ML models.
Machine Learning Engineer II - PPC
Join Booking.com as a Machine Learning Engineer II in Amsterdam, developing scalable ML pipelines and frameworks for performance marketing.
Backend Engineer - Personalization
Join Spotify as a Backend Engineer in NY, enhancing music personalization with your skills in APIs, databases, and software development.
Machine Learning Engineer
Join Snap Inc. as a Machine Learning Engineer in New York, NY. Develop AI models, collaborate with teams, and drive innovation.
Backend Engineer – Backstage Data Platform
Join Spotify as a Backend Engineer in NYC, enhancing data platform reliability and developer experience.
Junior Android Engineer, Core Experience
Join Spotify as a Junior Android Engineer to enhance our main iOS and Android applications in Stockholm.
Senior Machine Learning Engineer, Marketing Technology
Join Airbnb as a Senior Machine Learning Engineer to enhance personalized customer experiences using AI/ML.
Web Engineer - Podcast
Join Spotify as a Web Engineer to build tools for podcast creators, focusing on both backend and frontend development.
Head of Machine Learning
Lead AI strategy at Epidemic Sound as Head of Machine Learning. Drive innovation in AI/ML technologies in a hybrid work environment.
Machine Learning Engineer
Join Snap Inc. as a Machine Learning Engineer in Los Angeles. Develop and deploy ML models to enhance user experience. Competitive salary and benefits.
Machine Learning Engineer (NLP)
Join Intapp as a Machine Learning Engineer (NLP) in Berlin. Work on AI/ML solutions, leveraging NLP technologies. Competitive salary and benefits.
Applied Scientist II
Join Amazon as an Applied Scientist II to drive machine learning projects, optimize ad serving, and enhance customer experiences.
Senior Backend Engineer - Advertising
Join Spotify as a Senior Backend Engineer in Advertising, focusing on API design and distributed systems.
Machine Learning Engineer
Join Refuel as a Machine Learning Engineer to develop core ML algorithms, improve datasets, and collaborate on product scalability.
Software Engineer 2 - AI and Machine Learning
Join Microsoft as a Software Engineer 2 in Barcelona to innovate in AI and Machine Learning with a focus on large-scale data projects.
Machine Learning Engineer II - Content, NLP, LLM
Join Tripadvisor as a Machine Learning Engineer II focusing on NLP and LLMs. Work remotely from Portugal or the UK.
