Research Tools Engineer — Full-Stack for AI Experiments

Candidate; Palo Alto (CA); In loco; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

SpaceX is seeking a Software Engineer on the Research Tools team to build the infrastructure and applications that enable researchers to iterate quickly, run complex experiments, and extract insights. This is a full-stack product-engineering role.

You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. No prior ML or research experience is required.

Competenze

• Experience building tools or infrastructure for technical users.
• Shipped full-stack products from UI to storage or services.
• Proficiency with TypeScript and React; also hands-on with Node, Python, or Go.
• Ability to move from concept to working prototype under ambiguity.

Mansioni

• Build and maintain the full-stack applications and infrastructure researchers rely on daily, covering experiment setup, feedback collection, and results analysis.
• Own complete product areas from user needs through design, implementation, and iteration, setting standards for how to build research applications.
• Create reusable platforms and tools that speed up new research applications, then prototype, ship, and iterate quickly based on real-world usage.
• Partner with research teams to turn their workflows and pain points into intuitive interfaces and abstractions that make complex research tasks fast and approachable.

Conoscenze

TypeScript

React

Node.js

Python

Go

Data visualization

Descrizione del lavoro

SpaceX is seeking a Software Engineer on the Research Tools team to build the infrastructure and applications that enable researchers to iterate quickly, run complex experiments, and extract insights. This is a full-stack product-engineering role.

You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. No prior ML or research experience is required.