Senior Machine Learning Engineer - Messaging Platform

Job summary

Responsibilities

Spotify’s Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention, and overall subscription growth at scale.

• 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

What they're looking for

• You have strong experience building and deploying machine learning models in production environments at scale
• You are comfortable translating business problems into ML solutions and discussing trade-offs with cross-functional partners
• You have worked on complex optimization problems such as ranking systems or multi-objective decision-making
• You bring hands-on experience with PyTorch and distributed systems such as Ray or similar frameworks
• You understand experimentation deeply and can design reliable tests in environments with interacting metrics

Tech stack

• PyTorch
• Ray