Full-Stack Software Engineer - Multimodal

About the Role

The multimodal team at xAI creates magical AI experiences beyond text, enabling understanding and generation of content across various modalities, including image, video, and audio.

To accomplish this, we are looking for expert full-stack developers to join our team to improve our research tooling and advance our research. Key responsibilities of the role include prototyping and supporting research applications that we use internally for developing and testing new capabilities and research ideas.

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

• Building user-friendly and performant data management and visualization interfaces.
• Building research demos to explore the frontier of multimodal AI products, and iterate quickly based on real-world feedback.
• Owning end-to-end experience of the created application, and working within teams and cross functions to improve the experience.

Ideal Experiences

• Expert full-stack developer.
• Experienced in standard software engineering best practices (CI/CD) and care about code quality, testing, and performance.
• Familiar with real-time applications, and how multimodal foundational models work.

Tech Stack

• Python
• TypeScript, React
• Rust
• gRPC

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:

• One-on-one research discussion & coding interviews (three meetings total)
• Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.

Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet.

Annual Salary Range

$180,000 - $440,000 USD