Member of Technical Staff, Platform Engineer (New Stealth Startup)

Role overview Build the platform and infrastructure that move AI research into dependable production systems. You’ll work across backend services, data pipelines, platform architecture, and user-facing tools, with a particular focus on scaling reinforcement learning environments and supporting data collection, model training, and evaluation workflows.

Responsibilities - Design and scale reinforcement learning environments and the infrastructure supporting large-scale data collection. - Build and operate backend services, APIs, and data-generation pipelines. - Create modular environment domains that connect to model training and evaluation workflows. - Turn research requirements and prototypes into reliable production systems. - Develop full-stack tools for research, engineering, and operations, and maintain related data models, storage, and integrations. - Improve reliability, observability, security, performance, and maintainability; investigate issues and contribute to architecture decisions.

Requirements - At least six years of professional experience building full-stack applications, backend or distributed systems, or platforms. - Strong capability in backend systems and platform architecture, with comfort working across infrastructure, data models, and user-facing applications. - Experience translating complex or evolving technical requirements into scalable, reliable software. - Sound engineering judgment that accounts for reliability, observability, maintainability, and performance. - Ability to diagnose difficult system issues, communicate technical tradeoffs, and collaborate across research, product, engineering, and operations. - High ownership and a commitment to clean, tested, maintainable code.

Benefits and work setup - Remote role based in the United States. - Health, dental, and vision coverage for employees and families, paid parental leave, and unlimited paid time off with management approval. - Professional development opportunities and optional retirement, flexible spending, and equity programs.