Offer summary

Qualifications:

Strong engineering skills and experience with AI model evaluation., Background in data collection and generation for large language models (LLMs)., Ability to innovate in reinforcement learning algorithms for scientific research., Excellent communication skills to share knowledge effectively..

Key responsibilities:

Develop next-generation reinforcement learning algorithms for AI in scientific and professional domains.

Build evaluation frameworks for AI models in expert fields.

Create and manage data infrastructure and generate training data for AI models.

Collaborate with the team to advance AI capabilities in various scientific disciplines.

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 AI Expert team strives to make AI models excellent in scientific and professional domains, such as math, engineering, biology, medicine, and finance. This team will build AI experts in an end-to-end manner, including building model evaluation, curating training data, and developing training recipes.

About the Role

In this role you might:

Innovate next-generation RL algorithms to unleash AI abilities in open-ended science research and real-world professional work.
Build evaluation for AI models in expert domains
Build RL data infrastructure and generate training data.

Exceptional candidates may have:

Strong engineering abilities
Experience with data collection and data generation for LLMs
Optional: Experiences with cross-domain experiences

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 post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training.
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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