Staff ML Platform Software Engineer

Join Grow Therapy as a Staff ML Platform Engineer, where you'll drive the technical vision and execution of our Machine Learning Platform. You'll design, build, and scale real-time ML systems that power core product experiences, starting with patient-provider matching. You'll partner closely with Data Science, Product, and Engineering teams to translate business goals into robust platform capabilities. This is an opportunity to build foundational systems that matter at meaningful scale and help define how ML is practiced at Grow for years to come.

• Design, build, and scale real-time machine learning systems that power core product experiences, starting with patient-provider matching.
• Define the technical vision and roadmap for the machine learning platform, partnering closely with Data Science, Product, and Engineering teams.
• Drive adoption of an AI-first development mindset, ensuring the platform can efficiently serve both static and live models at scale.
• Natural partnership instincts; you're equally comfortable discussing business outcomes with product stakeholders and diving deep on system design with data scientists
• Proven experience designing and building real-time ML systems at scale, with the ability to clearly articulate the tradeoffs and architectural decisions behind what you've built
• Deep expertise in ML infrastructure, including Feature Stores, real-time serving, model deployment safety, monitoring, and feedback loop design
• Direct experience with real-time ranking and recommendation systems
• Experience with infrastructure tooling such as Terraform and cloud-native ML serving platforms
• Experience using AI-assisted development tools and an openness to AI-first ways of working
• A bias toward ownership, rigor, and continuous improvement
• A demonstrated track record of technical leadership with broad organizational scope; for example you've influenced architecture decisions and raised the bar across teams, not just within one
• Experience with backend engineering fundamentals, you can write high-quality production code and engage in algorithmic problem solving
• Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings