Research Scientist: Neuro-Symbolic AI

Rippletide is building the decision infrastructure layer for enterprise AI agents, and we are hiring a Research Scientist to advance the neuro-symbolic foundations of our hypergraph reasoning engine. Based in our San Francisco office, you will conduct original research at the intersection of graph theory, constraint reasoning, and neural representations — with a direct path from paper to production. You will work closely with the Chief Scientist and engineering team to make AI agents provably controllable and auditable at enterprise scale.

• Lead research initiatives in neuro-symbolic reasoning, hypergraph inference, and constraint satisfaction with direct application to Rippletide's Decision Context Graph.
• Publish at top AI and ML conferences (NeurIPS, ICML, ICLR, AAAI) and represent Rippletide in the US research community.
• Collaborate with the engineering team to translate research into production components with full observability and benchmarking.
• Engage with the Bay Area academic and industry AI research community — Stanford, UC Berkeley, CMU, and ecosystem partners.
• Contribute to Rippletide's scientific narrative, white papers, and technical blog posts.
• Mentor junior researchers and engineers on research methodology and rigorous experimentation.

• PhD in Computer Science, AI, Mathematics, or a closely related field.
• Published research in neuro-symbolic AI, knowledge graphs, graph neural networks, probabilistic reasoning, or formal methods.
• Strong programming skills in Python (PyTorch, JAX, or equivalent); ability to implement and benchmark novel algorithms.
• Track record of bridging research and engineering — you value both rigor and deployment.
• Excellent communicator; comfortable presenting to both academic audiences and enterprise engineering teams.
• Based in or willing to relocate to San Francisco.
• Entrepreneur mindset — you treat problems as opportunities, take ownership instinctively, and move with urgency.

• Post-doctoral or industry research experience (Stanford HAI, MIT CSAIL, Google Brain, FAIR, etc.).
• Familiarity with LLM reasoning, retrieval-augmented generation, or tool-augmented agents.
• Experience with hypergraph data structures or temporal knowledge graph reasoning.
• Previous experience as a founder or co-founder.

• Competitive researcher compensation and meaningful early-employee equity.
• Research budget for publications, conference travel, and compute.
• Direct collaboration with Chief Scientist and engineering leadership.
• San Francisco office at 2 Embarcadero, embedded in the world's most active AI ecosystem.
• Full US benefits including health, dental, and vision.