Senior Machine Learning Engineer - Messaging Platform

What You'll Do

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

Who You Are

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

You are able to analyze results using approaches like causal inference or metric decomposition when needed

You have experience with or curiosity about reinforcement learning and long-term optimization systems

You enjoy working across disciplines and navigating ambiguity while shaping strategy and direction

Where You'll Be

This role is based in London and Stockholm…