xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The Reasoning Efficiency team focuses on pushing the boundaries of cost-efficient intelligence by building the next generation of Grok Mini.
Requirements
- Experience or publications in efficient algorithms for large language models (data / training algorithm / architecture)
- Exceptional engineering skills to iterate quickly on the data processing and training pipelines
- Strong understanding of large language model scaling laws
- Deep knowledge of reinforcement learning techniques
Responsibilities
- Build the next generation of Grok Mini - highly efficient reasoning models with frontier-level performance
- Innovate scalable techniques to maximize intelligence per dollar
- Work across the LLM stack (reasoning RL, pretraining, serving) to deliver the strongest model for end users
Other
- All employees are expected to be hands-on and to contribute directly to the company’s mission.
- Leadership is given to those who show initiative and consistently deliver excellence.
- Work ethic and strong prioritization skills are important.
- All engineers and researchers are expected to have strong communication skills.
- Candidates are expected to be located near Palo Alto or open to relocation.
