Lead Data Scientist - Autonomous Goal Management

📋 Description

• Lead research and engineering efforts for autonomous goal setting, decomposition, and execution in
• Design dynamic planning approaches including hierarchical planning and self-refinement loops.
• Develop memory, tool-use, and feedback-loop capabilities for multi-step agent behavior.
• Prototype agents that interface with APIs, databases, and search engines while staying safe and
• Investigate and mitigate goal misalignment and autonomy risk through evaluation and debugging.
• Collaborate with AI, safety, alignment, and engineering teams to integrate goal management with

🎯 Requirements

• Master's degree in CS/Data Science/ML with 4+ years in research or production-ready AI solutions.
• 2+ years leading AI/ML system development.
• Strong Python, SQL, and data analysis/mining tooling.
• Hands-on ML frameworks and agent-development tech (PyTorch, JAX, LangChain, LangGraph, AutoGen).
• Experience designing/high-performance large-scale ML systems.
• Strong understanding of language modeling and transformer architectures.

🎁 Benefits

• Base salary range of $142,300–$195,700 per year, depending on location, experience, skills
• Performance-based bonus eligibility.
• Fully remote work within the United States.
• Medical, dental, and vision insurance.
• 401(k) retirement savings plan.
• Paid time off and holidays.