About the role
- You will own and elevate our mission-critical research platform that directly accelerates SpaceXAI’s frontier work
- The evals team creates and executes instruments for measuring model capabilities and behaviors. These instruments are used to clean datasets, provide feedback for experiments, and track growth throughout training
- The evals team also diagnoses why agents fail and how to make improvements both short and long term. We manage the execution infrastructure, design data sets and grading schemes
- You will design, build, and ship delightful and bulletproof systems that engineers love to use every day. This role values a strong attention to details, first principles reasoning, and great taste
Benefits
- Health and wellness: Comprehensive health insurance including medical, dental, vision, and disability coverage
- Life and family: Life and AD&D insurance and fertility benefits to ensure our team’s well-being and peace of mind
- Flexible vacation: We work hard but avoid burn out. Take time off when you need it
- Visa sponsorship: We support international talent with visa sponsorship to join our team
- 401(k) plan: Retirement savings plan to secure your financial future- All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence
- Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates
- We are open to all levels from new grads to senior engineers
- A track record of shipping high quality projects and a strong sense of urgency
- Strong attention to detail
- Software engineering proficiency and 3+ years of experience actively writing code
- Exceptional product taste - you have a sharp sense for what “good” looks like in outputs, and you can translate fuzzy notions of quality, helpfulness, truthfulness, and safety into concrete, measurable criteria
- Previously founded a startup or joined a fast-growing early-stage startup
- Familiarity with AI/ML workflows, annotation tools, or evals
- Experience creating and maintaining component libraries, design systems, or internal tools
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