xAI
AI Researcher & Engineer - Multimodal (Image Gen)San Francisco & Palo Alto, CA
xAI, Palo Alto, California, United States, 94301
AI Researcher & Engineer - Multimodal (Image Gen)
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. As a multimodal researcher/engineer, you will drive the model's multimodal capability through various aspects such as data, modeling, serving and product. You will collaborate with pre-training, post-training, and product teams to push the frontiers of model capability as well as the end-to-end user experience. Focus: Creating and driving research agenda to advance image and video generation and editing capabilities. Improving data quality, developing data filtering/generation techniques, and performing data study. Creating evaluation frameworks and internal benchmarks. Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance. Ideal Experiences: Track record in leading research that significantly improves the capability and performance of neural networks, whether better data or better modeling. Experience in data-driven experiment designs and systematic analysis for iterative model debugging. Experience in developing or working with large-scale distributed machine learning systems. Experience in graphics engines and rendering techniques is considered an advantage. Ability to do whatever is necessary to deliver the best end-to-end user experience. 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. Tech Stack: Python Jax Rust 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) Project deep-dive: 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. Benefits: 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. Annual Salary Range: $180,000 - $440,000 USD xAI is an equal opportunity employer.
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. As a multimodal researcher/engineer, you will drive the model's multimodal capability through various aspects such as data, modeling, serving and product. You will collaborate with pre-training, post-training, and product teams to push the frontiers of model capability as well as the end-to-end user experience. Focus: Creating and driving research agenda to advance image and video generation and editing capabilities. Improving data quality, developing data filtering/generation techniques, and performing data study. Creating evaluation frameworks and internal benchmarks. Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance. Ideal Experiences: Track record in leading research that significantly improves the capability and performance of neural networks, whether better data or better modeling. Experience in data-driven experiment designs and systematic analysis for iterative model debugging. Experience in developing or working with large-scale distributed machine learning systems. Experience in graphics engines and rendering techniques is considered an advantage. Ability to do whatever is necessary to deliver the best end-to-end user experience. 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. Tech Stack: Python Jax Rust 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) Project deep-dive: 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. Benefits: 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. Annual Salary Range: $180,000 - $440,000 USD xAI is an equal opportunity employer.