Remote Lead AI Scientist, Autonomous Goal Management

Humana Inc; Columbus (OH); Remote; USD 142,000 - 196,000; Full time

Benefits offered by this job

Bonus eligible

Job summary

Humana Inc. is seeking an expert in autonomous AI agents to design goal setting, planning, and control for robust, interpretable, long-horizon systems. You will build dynamic planners, memory and tool-use modules, and evaluation frameworks aligned with human intent.

You will prototype agents interfacing with APIs, databases, and real-world actuators while addressing safety, risk management, and performance. Remote US, 40-hour weeks, with travel as needed.

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
• 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

Responsibilities

• 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

Skills

SQL

Python

Data analysis

PyTorch

JAX

LangChain

LangGraph

AutoGen

Large-scale ML systems

Transformers

Symbolic planning

Causal reasoning

Model-based RL

Education

Master's Degree

Ph.D. in Computer Science/Data Science/ML

Tools

PyTorch

JAX

LangChain

LangGraph

AutoGen

Job description

Humana Inc. is seeking an expert in autonomous AI agents to design goal setting, planning, and control for robust, interpretable, long-horizon systems. You will build dynamic planners, memory and tool-use modules, and evaluation frameworks aligned with human intent.

You will prototype agents interfacing with APIs, databases, and real-world actuators while addressing safety, risk management, and performance. Remote US, 40-hour weeks, with travel as needed.