This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Full Stack Engineer, Machine Learning Tooling based in the United States.
This role sits at the intersection of full stack engineering and machine learning infrastructure, focused on building internal tools that power ML and data science workflows. You will design and scale web-based applications that support model development, deployment, and monitoring across engineering and data teams. The work directly enables faster experimentation, better operational reliability, and improved ML-driven decision-making. You will collaborate closely with data scientists, backend engineers, and platform teams in a fast-moving, high-ownership environment. The role emphasizes hands-on development across frontend and backend systems, with a strong focus on reliability and scalability. It is ideal for an engineer who enjoys solving complex infrastructure-adjacent problems while staying close to product impact.
Based on 375 disclosed Full-Stack salaries on RoleSuite, the role pays a median of $184K/year, with most offers between $145K and $211K (10th–90th percentile: $114K–$246K).
This posting lists $145K–$165K, below the $184K market median.
See the full Full-Stack salary breakdown →