Senior Machine Learning Engineer

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

What the job involves

• 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

Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - fully paid - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs