Lead Data Scientist - Autonomous Goal Management

We are seeking a Lead Data Scientist to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. The ideal candidate will have expertise in agent design, planning, and control, and be able to develop and evaluate agents that can set, adapt, and execute goals in dynamic, real-world environments.

Requirements

• Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments
• Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops)
• Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior
• Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives
• Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiency
• Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies
• Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms

Benefits

• Generous Paid Time Off
• 401k Matching
• Annual Incentive Plan
• Well-being program
• Paid Volunteer Time Off