Research Engineer developing agentic systems at Anthropic focused on LLMs and AI applications. Collaborating with researchers to enhance agent performance and tackle complex tasks.
About the role
- Staff Research Engineer involved in creating a neurosymbolic AI agent at Onton. Focused on optimal decision-making processes and addressing challenges in current AI systems.
Responsibilities
- Together we will create an AI agent capable of providing optimal decisions as quickly as possible.
- Solve difficult problems as you scale Onton to serve 1B+ searches/year.
- Address challenges in AI systems at the architectural level.
- Turn sparks of intelligence into a fire through self-directed, data-driven experiments.
Requirements
- Have significant software, ML, or research engineering experience
- Command a deep, principled understanding of the current state of the field of AI, especially neurosymbolic approaches.
- Have some experience contributing to empirical AI research projects
- Enjoy implementation, not just writing papers.
- Be excited about non-purely-statistical approaches to AI.
- Prefer fast-moving collaborative projects to extensive solo efforts.
- Quickly and iteratively ship code that is correct, robust, scalable, and maintainable.
Benefits
- Comprehensive health, vision, dental insurance
- Regular team off sites and events
- 401(k) plan (US)
- Device budget
- Productivity stipend
- Unlimited time off and 12 company holidays per year
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