Data and Infrastructure Engineer - Multimodal Team

xAI is at the forefront of creating revolutionary AI systems aimed at understanding the universe and advancing human knowledge. As part of the multimodal team, you'll be instrumental in creating magical AI experiences that go beyond text, enabling understanding and generation of content across various modalities including image, video, and audio.

The role demands expertise in developing and optimizing data pipelines for multimodal data processing at a petabyte scale. You'll be working in a flat organizational structure where initiative and excellence are highly valued. The team is small, highly motivated, and focused on engineering excellence, making it perfect for those who thrive on curiosity and challenging themselves.

Key responsibilities include building tools for multimedia data acquisition, developing high-throughput data processing systems, and creating efficient data loading pipelines for large-scale training of multimodal models. You'll also be involved in building visualization and management tools for various datasets.

The ideal candidate will bring expert-level experience in distributed machine learning systems, proficiency with technologies like Spark, GPUs, Kubernetes, and JAX/PyTorch, and a strong foundation in software engineering best practices. The role offers competitive compensation ranging from $180,000 to $440,000 USD annually.

Working at xAI means joining a team where strong communication skills are essential, and all members are expected to be hands-on contributors to the company's mission. The interview process is thorough, including technical discussions, coding interviews, and a presentation of your past work and vision for xAI.

The position is based in the Bay Area, with offices in San Francisco and Palo Alto, offering the opportunity to work on cutting-edge AI technology in one of the world's leading tech hubs. If you're passionate about pushing the boundaries of AI technology and want to be part of a team that's shaping the future of multimodal AI systems, this role at xAI could be your next career milestone.