# Member of Technical Staff - Imagine Product

**Company**: xAI
**Location**: Palo Alto, CA
**Work arrangement**: onsite
**Experience**: staff
**Job type**: full-time
**Salary**: $180,000 - $440,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q120599684

**Apply**: https://job-boards.greenhouse.io/xai/jobs/5052027007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3ac0b2f4-6c9

## Description

## About the Role

The Imagine Product team is redefining AI-driven media experiences for Grok users worldwide. You'll build and scale robust, high-performance systems that power immersive, multi-modal media interactions,leveraging cutting-edge AI to enable seamless generation, processing, and delivery of images, video, audio, and beyond.

Your work will drive engaging, real-time user experiences that captivate and delight millions, turning advanced multimodal models into production-grade features. If you're a driven problem-solver passionate about AI, media technologies, and creating scalable solutions that shape the future of consumer AI, this is your opportunity to make a lasting impact.

## Responsibilities

- Design and implement scalable systems to support Grok's AI-driven media experiences, ensuring high performance, reliability, and low-latency at global scale.

- Architect robust infrastructure for real-time multi-modal interactions, including handling generation requests, media processing, and seamless integration with frontend and model serving layers.

- Build and optimise large-scale data pipelines to ingest, process, and analyse multi-modal data (images, video, audio), fueling continuous improvement and personalisation of Grok's media capabilities.

- Collaborate closely with frontend engineers, AI researchers, and product teams to deliver captivating, media-rich features and end-to-end user experiences.

- Own full-cycle development of solutions: from system design and prototyping to deployment, monitoring, observability, and iterative refinement.

- Deliver production-ready, maintainable code that powers features reaching hundreds of millions of users.

## Basic Qualifications

- Proficiency in Python or Rust, with a strong track record of writing clean, efficient, maintainable, and scalable code.

- Experience designing and building systems for consumer-facing products, with emphasis on performance, reliability, and handling high-throughput workloads.

- Hands-on expertise in large-scale data infrastructure and pipelines, particularly for multi-modal or media-heavy AI applications.

- Proven ability to deliver robust, production-grade solutions to millions of users while maintaining high standards of quality and uptime.

- Strong problem-solving skills and a passion for turning innovative ideas into high-impact, scalable realities.

- Deep enthusiasm for AI and media technologies, with a commitment to building user-focused products that inspire and engage.

## Preferred Skills and Experience

- Experience with real-time systems, inference serving, or multi-modal data processing at scale.

- Familiarity with distributed systems, containerisation (e.g., Kubernetes), observability tools, or performance tuning for AI workloads.

- Background in AI-driven consumer products or media generation technologies.

- Track record collaborating across engineering, research, and product teams to ship delightful features quickly.

## Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

## Skills

### Required
- Python
- Rust
- clean, efficient, maintainable, and scalable code
- large-scale data infrastructure and pipelines
- multi-modal or media-heavy AI applications
- production-grade solutions
- quality and uptime

### Nice to have
- real-time systems
- inference serving
- multi-modal data processing at scale
- distributed systems
- containerisation
- observability tools
- performance tuning for AI workloads
- AI-driven consumer products
- media generation technologies

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/xai/jobs/5052027007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)