Lead Data Scientist - Autonomous Goal Management

Become a part of our caring community   The Enterprise AI organization at Humana 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. Key R esponsibilities   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 Technical skills Proficiency in SQL, Python, and data analysis/data mining tools. Experience with machine learning frameworks like Pytorch, Jax, LangChain, LangGraph or AutoGen Experience with high performance, large-scale ML systems Experience with language modeling with transformers Experience with symbolic planning, causal reasoning, and model-based RL Experience with large-scale ETL Use your skills to make an impact   Required Qualifications Master'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 solutions 2+ years of experience leading development of AI/ML systems Preferred Qualifications Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Demonstrated experience shipping autonomous, or semi-autonomous agents in production or simulation Experience with LLM-based agents with scratchpad/self-reflection or hierarchical task decomposition Understanding of autonomy risk mitigation strategies, including off-switch protocols, or bounded rationality Additional Information Location/Work Style: Remote US Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.   Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.   Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base