• Experienced in applied AI and machine learning: You have 2–8 years of experience in data science, machine learning engineering, AI engineering, or related fields. We're hiring across multiple levels and value demonstrated ability over years of experience alone.
• Strong in data analysis and experimentation: You're proficient in Python, with a solid foundation in statistics, experimental design, and data modeling. You can quickly investigate unfamiliar datasets, identify meaningful patterns, and form well-reasoned hypotheses.
• Hands-on with AI agents: You have experience building, debugging, and improving LLM-powered agents or workflows. You understand how to design effective evaluations, identify failure modes, and systematically improve performance without introducing unnecessary complexity.
• A rigorous problem-solver: You combine analytical curiosity with sound technical judgment. You use AI tools to accelerate your work but develop your own understanding of the underlying data, models, and problems you're solving.
• Outcome-oriented: You're motivated by solving real business problems and can connect technical improvements to measurable results. You care as much about the value your work creates as the sophistication of the approach.
• A high-ownership builder: You thrive in fast-moving environments, take initiative when faced with ambiguity, and know when to ask questions, involve others, or independently push a problem toward resolution.
• Collaborative and thoughtful: You actively seek expertise, communicate openly, and work well across technical and non-technical teams. You take ownership of mistakes, welcome feedback, and contribute to a culture of continuous improvement.