Staff Research Engineer

The role

You will create an AI agent capable of providing context for optimal decisions. You will conduct self-directed, data-driven experiments from first principles to scale a neurosymbolic AI agent.

What you will do

• Conduct self-directed, data-driven experiments from first principles
• Quickly and iteratively ship code that is correct, robust, scalable, and maintainable
• Create an AI agent capable of providing context for optimal decisions

Required qualifications

• Significant software, ML, or research engineering experience
• Deep, principled understanding of the current state of the field of AI, especially neurosymbolic approaches
• Experience contributing to empirical AI research projects
• Enjoy implementation, not just writing papers
• Excited about non-purely-statistical approaches to AI
• Prefer fast-moving collaborative projects to extensive solo efforts

Nice to have

• PhD or Master’s in Artificial Intelligence, Computer Science, Cognitive Science, Linguistics, or comparable (or equivalent research experience)

Benefits

• Relocation compensation

Before you apply

• Final round of interviews is conducted onsite at our SF office
• Requires full-time, in-person collaboration

About the company

Onton aims to help people make decisions instantly by tackling economically impactful decisions. The company is building a neurosymbolic AI agent to guide users through shopping journeys and towards AGI.