Lead Data Scientist - Autonomous Goal Management

This role will lead the design of advanced AI and ML systems that help autonomous agents plan, adapt, and achieve goals in production settings. The ideal candidate will work closely with research, engineering, and product partners to build safe, reliable, and human-aligned agentic solutions. This position blends applied machine learning, hierarchical planning, and evaluation rigor to support real-world healthcare applications., * Architect goal-setting and decomposition mechanisms for autonomous agents.

• Design and implement dynamic planning systems such as hierarchical planning and curriculum learning.
• Collaborate on designs for memory, tool use, and feedback loops for self-directed agents.
• Develop evaluation frameworks to ensure alignment with human intent and long-term objectives.
• Prototype agents that interact with APIs and real-world systems for goal achievement.
• Explore strategies to detect and mitigate goal misalignment and undesirable strategies.
• Integrate goal alignment with safety and operational reliability across teams.

• Master’s degree and 4+ years of experience in research, ML engineering, or applied research with a focus on production-ready AI solutions.
• 2+ years of experience leading AI/ML systems development.
• Ph.D. preferred in Computer Science, Data Science, Machine Learning, or a related field.
• Experience shipping autonomous or semi-autonomous agents in production or simulation.
• Familiarity with LLM-based agents employing hierarchical task decomposition.

• Medical, dental, and vision benefits
• 401(k) retirement savings plan
• Paid time off, including company and personal holidays
• Paid parental and caregiver leave
• Short-term and long-term disability insurance
• Life insurance
• Opportunities for personal wellness and smart healthcare decisions

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.