Kepler AI
Head of AI Research
New York City
Sponsorship not specifiedDetected 272 days ago
CI/CDMachine LearningdbtNLPLLMsRAGAgentic AIAI OrchestrationDesign SystemsResearchLeadershipCollaboration
About the role
- You'll define the research agenda that makes AI trustworthy for enterprise decisions.
- At Kepler, we've solved hallucination not by making models smarter, but by architecting systems where hallucination is structurally impossible.
- Now we need someone to push the frontier of what's possible within this architecture.
Responsibilities
- Define the research agenda: Identify the highest-leverage research problems at the intersection of AI reliability, agentic systems, and enterprise trust. Shape what Kepler builds next.
- Pioneer agentic architectures: Design systems for agent orchestration, task planning, and multi-step reasoning that maintain accuracy and provenance across complex research workflows.
- Advance memory and retrieval: Build novel approaches to context management, knowledge representation, and retrieval that let agents reason over millions of documents while staying grounded in sources.
- Build evaluation frameworks: Define how we measure agent quality, reliability, and trustworthiness. Create benchmarks that matter for real-world financial research.
- Ship research to production: This isn't theoretical. Your work deploys to systems used by top financial institutions. Research validates through real-world impact.
- Build and lead the research team: Hire exceptional researchers. Create an environment where breakthrough work happens and ships.
- Shape what Kepler builds next.
- Design systems for agent orchestration, task planning, and multi-step reasoning that maintain accuracy and provenance across complex research workflows.
- Build novel approaches to context management, knowledge representation, and retrieval that let agents reason over millions of documents while staying grounded in sources.
- Research validates through real-world impact.
Requirements
- 5+ years in AI/ML research with focus on LLMs, agents, retrieval systems, or memory architectures
- Publication record: Strong track record at top venues (NeurIPS, ICML, ICLR, ACL)
- Production experience: You've shipped research to real systems with real users.
- Technical depth: Expertise in transformer architectures, attention mechanisms, retrieval-augmented generation, or memory-augmented systems
- Research taste: Ability to identify problems that are both technically interesting and practically important
Nice to have
- We're backed by investors who built the modern AI and data stacks, plus the builders of iconic commercial businesses.
- This includes founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs and Square as well as PebbleBed, Company Ventures and Mantis VC firms.
Skills
- Create benchmarks that matter for real-world financial research.
- Great teams compound.
- Every hire raises the bar, every win gets named, every person gets the tools and runway to grow.
- Kepler is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
Benefits
- 100% covered top-of-the-line medical, dental, and vision insurance for employees and their families.
- HSA maxed by the company to the IRS limit.
- Automatic coverage for life, AD&D, and disability insurance.
- Unlimited PTO policy.
- Learning budget - attend any conference, course, or program that makes you better at what we're building.
- Work directly with leadership on technical strategy, product direction, and company vision.
Company info
- The founding team spent a combined 40+ years at Palantir building the type of large-scale data infrastructure that Kepler requires.
- Our co-founder created Palantir's first AI platform and built the analytics engine behind $100M+ contracts.
- Our founding engineers led Foundry's core systems - Ontology, Fusion, Workshop, FoundryML - and scaled data products at Meta to 1B+ users.
- We've paired this deep technical foundation with a repeat founder profile.
- Our CEO built and scaled a data company to $15M ARR before successfully selling it.
- He then became Citadel's first Head of Business Engineering, experiencing first hand the problems we are now solving.
- We have a team who've been on both sides: building systems like this at massive scale and selling it into the buyers who need it most.
- Define the research agenda for a company building the ground truth platform for AI.
- Define your own agenda within our mission.
- We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.
Equal opportunity
- Equal Opportunity Employer and prohibits discrimination and harassment of any kind.
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This listing is sourced directly from Kepler AI's careers page and normalized into a canonical job model.