Lead Data Scientist – Autonomous Goal Management

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement mechanisms for goal-setting and decomposition tailored for autonomous agents operating in uncertain or open-ended settings.

• Create dynamic planning systems, encompassing hierarchical planning, curriculum learning, and self-refinement loops.

• Collaborate on designs for memory, tool usage, and feedback loops that facilitate multi-step, self-directed agent behaviors.

• Establish evaluation frameworks to ensure alignment with human intent, consistency, and progress toward long-term objectives.

• Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to achieve goals in a safe and efficient manner.

• Investigate methods to identify and reduce goal misalignment, looping behavior, or unwanted emergent strategies.

• Collaborate across teams to synchronize goal alignment with safety, alignment, and operational reliability measures.

⛳️ Requirements

• Master's Degree.

• Minimum of 4 years of experience in research/ML engineering or as an applied research scientist.

• Preferably focused on the development of production-ready AI solutions.

• At least 2 years of experience leading the development of AI/ML systems.

• Strong proficiency in SQL, Python, and data analysis/data mining tools.

• Familiarity with machine learning frameworks such as PyTorch, JAX, LangChain, LangGraph, or AutoGen.

• Experience with high-performance, large-scale ML systems.

• Background in language modeling with transformers.

• Expertise in symbolic planning, causal reasoning, and model-based reinforcement learning.

• Experience with large-scale ETL processes.

• Ability to work from a dedicated space without ongoing interruptions to safeguard member PHI/HIPAA information.

• Reliable home internet connection with a minimum of 25 Mbps download and 10 Mbps upload speed.

• A Ph.D. in Computer Science, Data Science, Machine Learning, or a related field is preferred.

• Proven experience in deploying autonomous or semi-autonomous agents in production or simulation is preferred.

• Familiarity with LLM-based agents utilizing scratchpad/self-reflection or hierarchical task decomposition is preferred.

• Understanding of autonomy risk mitigation strategies, such as off-switch protocols or bounded rationality, is preferred.

🏝️ Benefits

• Bonus incentive plan based on company and/or individual performance.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• 401(k) retirement savings plan.

• Paid time off.

• Company holidays.

• Personal holidays.

• Paid parental leave.

• Paid caregiver leave.

• Short-term disability.

• Long-term disability.

• Life insurance.

• Personal wellness support.

• Smart healthcare decision support.

• Remote work arrangement.

• Occasional travel to Humana offices for training or meetings.