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Member of Technical Staff - Multimodal (Real-time Video Understanding) Job at xA

Member of Technical Staff - Multimodal (Real-time Video Understanding) Job at xA

MediabistroSan Francisco, CA, United States
14 days ago
Job type
  • Full-time
Job description

Member of Technical Staff - Multimodal (Real-time Video Understanding)

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. We operate with a flat organizational structure. All employees are expected to be hands-on and to 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 important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

Our team is pushing the frontier of multimodal intelligence through Grok Voice, the world’s smartest AI assistant that is able to listen, see, and respond to you in real time. We are actively learning to develop novel video understanding capabilities that solve user problems in both the physical and digital worlds.

We own the full-stack of post-training : from data curation to model training, deployment, and iterating end-to-end on the user experience.

What You\'ll Do

  • Design, and implement methods to enhance video understanding, whether through developing new models, systems, or tools.
  • Improve data quality by curating robust datasets, building scalable data pipelines, and analyzing user interactions with models.
  • Develop and apply evaluation metrics to measure model performance and systematically identify and address failure modes.
  • Manage the complete experimental lifecycle : from designing experiments and training models to deployment and iterative refinement based on feedback and data.

Ideal Experience

You\'re an exceptional candidate if you have some (or all) of the following :

  • Experience in LLM reinforcement learning, tool use, and agentic approaches.
  • Experience in real-world computer vision. For example, experience in visual / multimodal search and dealing with noisy visual data.
  • Strong engineering background with experience working with large-scale, modern backend services.
  • An attitude to just execute and solve problems. You’re willing to dive into new codebases you\'ve not seen before if it means you can get stuff done faster.
  • Python
  • JAX / PyTorch
  • Rust
  • Location

  • The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation.
  • 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 :

  • 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.
  • Annual Salary Range

    $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.

    Will you now, or in the future, require sponsorship for employment visa status (e.g., H-1B visa) to legally work for X.AI LLC in the U.S.?

    #J-18808-Ljbffr

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    Member Of Technical Staff • San Francisco, CA, United States

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