Base Salary
$400k - $700k/yr
Responsibilities
- Define the research agenda focusing on AI reliability and enterprise trust.
- Pioneer agentic architectures for task planning and multi-step reasoning.
- Advance memory and retrieval systems for effective context management.
- Build evaluation frameworks to measure agent quality and trustworthiness.
- Ship research to production systems used by financial institutions.
- Build and lead a high-performing research team.
- Publish and represent Kepler in the AI community.
- Collaborate with founders on technical strategy and product direction.
Requirements
- PhD in Computer Science, AI/ML, or related field.
- 5+ years of AI/ML research experience focusing on LLMs and retrieval systems.
- Strong publication record at top AI venues.
- Experience shipping research to production systems.
- Technical expertise in transformer architectures and attention mechanisms.
- Leadership experience in high-stakes research environments.
- Ability to identify technically interesting and practically important problems.
- Strong communication skills to translate research into business implications.
- Intellectual humility and a collaborative mindset.
Benefits
- Open publication policy encouraging contributions to the AI community.
- Dedicated GPU capacity for research experiments.
- Conference budget for attending top AI venues.
- Funding for academic partnerships and collaborations.
- Access to unique structured financial data.
- Research autonomy to define your own agenda.
- Comprehensive medical, dental, and vision insurance.
- Unlimited PTO policy and daily lunch in the office.
- Development environment budget for necessary tools and equipment.
- Learning budget for professional development.
Categories
About Kepler
We're building the ground truth platform for AI. AI is great at understanding what you're asking for. It's terrible at giving you answers you can trust. Everyone else is trying to make AI more accurate. We made accuracy the only possible outcome by building a platform that separates what AI does well from what code does well. AI handles the conversation. Code handles the truth. The result is the first AI system that can show its work. We automatically ingest data from scattered sources, structure it into a unified platform, and deploy specialized AI agents that conduct deep research with full transparency. Every insight links back to authoritative sources. Every conclusion reveals its reasoning. Every answer can be defended with complete confidence. We're starting in finance, where being wrong costs millions and speed wins deals, but we're building the foundational data layer for the AI era, applicable anywhere that decisions depend on trustworthy data. We're a team of ex-Palantir engineers who built data infrastructure for the world's most demanding organizations. We've raised from top investors, we're working with partners who need this yesterday, and we're building a small team obsessed with foundational technology. If you want to build the platform that becomes the ground truth for AI, we're just getting started.