Lead Data Scientist - Autonomous Goal Management

Job-ID27380861Reference26-03163Lead Data Scientist - Autonomous Goal ManagementJob Description SummaryThe Enterprise AI organization at client is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence. We are building advanced agentic systems capable of autonomously managing and decomposing complex goals. We are seeking an expert in agent design, planning, and control to develop and evaluate agents that can set, adapt, and execute goals in dynamic, real-world environments. You’ll contribute to the scientific and engineering foundations that make AI agents reliable, interpretable, and robust across long-horizon tasks.Job DescriptionKey ResponsibilitiesArchitect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environmentsDesign 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 behaviorDevelop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectivesPrototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiencyExplore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategiesWork across teams to integrate goal alignment with safety, alignment, and operational reliability mechanismsTechnical skillsProficiency in SQL, Python, and data analysis/data mining tools.Experience with machine learning frameworks like Pytorch, Jax, LangChain, LangGraph or AutoGenExperience with high performance, large-scale ML systemsExperience with language modeling with transformersExperience with symbolic planning, causal reasoning, and model-based RLExperience with large-scale ETLRequired QualificationsMaster's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions2+ years of experience leading development of AI/ML systemsPreferred QualificationsPh.D. in Computer Science, Data Science, Machine Learning, or a related fieldDemonstrated experience shipping autonomous, or semi-autonomous agents in production or simulationExperience with LLM-based agents with scratchpad/self-reflection or hierarchical task decompositionUnderstanding of autonomy risk mitigation strategies, including off-switch protocols, or bounded rationality