Senior Machine Learning Engineer - Messaging Platform

📋 Description

• Design, build, and ship ML models that optimize messaging across channels
• Plan and run A/B experiments balancing conversion, engagement, retention
• Contribute to reinforcement learning systems for long-term outcomes
• Partner with PMs, data scientists, and engineers to define success and metrics
• Own the ML lifecycle from data and modeling to deployment and monitoring
• Integrate ML models with upstream systems including domain signals

🎯 Requirements

• You have strong experience building and deploying ML models in production at scale
• You translate business problems into ML solutions and discuss 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 like Ray
• You understand experimentation deeply and can design reliable tests in environments with interacting metrics
• You are able to analyze results using approaches like causal inference or metric decomposition when needed

🎁 Benefits

• Hybrid role with some in-person meetings; based in London and Stockholm
• Inclusive workplace with accommodations during interviews
• Help shape AI-assisted development; accelerate experimentation and delivery