[Hiring] Machine Learning Infrastructure Engineer @Later

Hiring Machine Learning Infrastructure Engineer @Later Back to Remote jobs> Artificial Intelligence> infrastructure engineer Machine Learning Infrastructure Engineer @Later | Salary usd 145,000 - 1.. | Remote Location 🇺🇸 USA Only | | --- | --- | | Employment Type full-time | Posted 2mths ago | Hiring Machine Learning Infrastructure Engineer @Later 2mths ago - Later is hiring a remote Machine Learning Infrastructure Engineer. 💸 Salary: usd 145,000 - 165,000 per year 📍Location: USA Role Description We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale. This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity. What you'll be doing: - Strategy - - Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives. - Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. - Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development. - Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy. - Technical/ Execution - - Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and AP