AI Engineer & Researcher - Multimodal

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. Engineers are encouraged to work across multiple areas of the company, and as a result, all engineers and researchers share the title 'Member of Technical Staff.' We operate with a flat organizational structure where all employees are expected to be hands-on and 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 essential, along with the ability to communicate effectively. All engineers and researchers are expected to concisely and accurately share knowledge with their teammates. xAI does not have recruiters; every application is reviewed directly by a technical member of the team.

Tech Stack:

• Python
• JAX and XLA
• Rust

Location:

• The role is based in the Bay Area (San Francisco and Palo Alto).
• Candidates are expected to be located near the Bay Area or open to relocation.

Focus:

• Training trillion parameter neural networks at scale and various smaller specialized models.
• Mastering all data modalities: text, audio, images, video, etc.
• Rapidly implementing state-of-the-art methods from deep learning literature.
• Innovating new ideas to develop AI systems that accurately understand the universe and create new knowledge.

Ideal Experiences:

• Building distributed training systems for AI models in HPC clusters.
• Working with JAX/XLA for multi-host training.
• Digging into third-party source code for debugging and customization.

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 phone interview, during which a team member will ask basic questions.
• If successful, you will enter the main process, which consists of four technical interviews:
• One-on-one research discussion & coding interviews (three meetings total).
• Project deep-dive: Present your past exceptional work 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

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