Offer summary

Qualifications:

Strong educational background in computer science, AI, or related fields., Experience with large language models and efficient algorithms., Exceptional engineering skills for data processing and training pipelines., Deep understanding of reinforcement learning and model scaling laws..

Key responsibilities:

Develop next-generation reasoning models with high efficiency.

Innovate scalable techniques to maximize intelligence per dollar.

Work across the LLM stack to deliver optimal models for users.

Collaborate with the team to push the boundaries of cost-efficient AI.

Job description

About xAI

xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. 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. They should be able to concisely and accurately share knowledge with their teammates.

About the Team

The Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence.

About the Role

In this role you will:

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

Exceptional candidates may have:

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

Location

We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation.

Interview Process

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:

Coding assessment in a language of your choice.
2x technical sessions: These sessions will be testing your ability to formulate, design and solve concrete engineering and research problems.
Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.

Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.

Annual Salary Range

$180,000 - $440,000 USD

xAI is an equal opportunity employer.

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