Staff Software Engineer, Applied AI Lab - Frontier AI

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Job summary

United States Digital Space LLC is seeking a versatile, entrepreneurial engineer to build for users who aren’t software experts. You’ll turn frontier AI capabilities into practical applications, partnering with researchers and domain experts to ship early, learn fast, and iterate relentlessly.

You’ll thrive in ambiguity, defend ideas with data, and contribute across multiple Labs initiatives as priorities shift, delivering impact for real-world professionals.

Qualifications

• 8+ years in building full‑stack applications in startup or startup‑like environments.
• Able to translate messy real-world workflows into simple software.
• Comfort with ambiguity and rapid experimentation, with data‑driven decisions.
• Strong user focus and demonstrated ability to learn quickly from users.

Responsibilities

• Rapidly prototype full‑stack applications that bring frontier AI into new workflows.
• Immerse with users to understand work patterns and translate insights into products.
• Collaborate with research teams to convert model capabilities into usable tools.
• Work with internal and external partners to gather feedback and validate concepts.
• Design structured experiments to test hypotheses and balance exploration with evaluation.
• Create documentation and insights to guide prototypes toward product teams.
• Provide feedback to researchers on model effectiveness in real settings and identify improvements.
• Contribute across Labs initiatives based on priorities and emerging opportunities.

Skills

Full-stack development

Startup experience

User-centric mindset

Ambiguity tolerance

High agency

Strong communication

Education

Bachelor's degree

Job description

United States Digital Space LLC is seeking a versatile, entrepreneurial engineer to build for users who aren’t software experts. You’ll turn frontier AI capabilities into practical applications, partnering with researchers and domain experts to ship early, learn fast, and iterate relentlessly.

You’ll thrive in ambiguity, defend ideas with data, and contribute across multiple Labs initiatives as priorities shift, delivering impact for real-world professionals.