Lead Data Scientist - Autonomous Goal Management
Core
Designing and evaluating autonomous AI agents that set, adapt, and execute complex goals in dynamic, real-world environments for healthcare applications.
Role type
Senior IC machine-learning engineer (autonomous agents)
Builds
Robust, reusable AI modules and pipelines for autonomous goal management
Domain
Healthcare + Autonomous AI / Agent Systems
Deliverable
production ML models
Required skills
Python, SQL, PyTorch, Jax, LangChain, LangGraph, AutoGen, symbolic planning, causal reasoning, model-based RL, large-scale ETL
Preferred skills
LLM-based agent development, scratchpad/self-reflection, hierarchical task decomposition, autonomy risk mitigation strategies
Technologies
PyTorch, Jax, LangChain, LangGraph, AutoGen
Responsibilities
Architect goal setting and decomposition mechanisms for autonomous agents; Design and implement dynamic planning systems; Develop evaluation frameworks for alignment with human intent; Prototype agents interfacing with APIs and real-world actuators; Explore mechanisms to detect and mitigate goal misalignment or looping behavior.
Seniority
Senior, hands-on IC
