Member of Technical Staff - Software Engineering Capabilities
United States Digital Space LLC
Opportunity Description
About Us
the company is building automated ML research engineering.
Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL environments that reflect real-world complexity, with diverse tasks and robust reward functions.
Our founding team has previous experience on Anthropic’s data team building data infrastructure, and datasets behind Claude. We are partnering with leading AI labs to push AI closer to achieving its transformative potential.
About the Role
AI models have gotten good at narrow coding tasks but still fail at the complex, judgment-heavy parts of software engineering: working in a large codebase with real conventions and technical debt, making the right tradeoff on a system design problem, or navigating a multi-step task with ambiguous stakeholders. As a Member of Technical Staff - Software Enginee...
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