Member of Technical Staff, Video Generation - Agent, RL job opportunity at xAI.



bot
xAI Member of Technical Staff, Video Generation - Agent, RL
Experience: General
Pattern: full-time
apply Apply Now
Salary:
Status:

Foundation Model

Copy Link Report
degreeOND
loacation Palo Alto, CA, United States Of America
loacation Palo Alto, CA....United States Of America

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 employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.  About the Role The omni 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 engineer focused on Video Generation - Agent, RL, you will pioneer AI agents that perceive, reason about, and generate video content. You will advance both video understanding (e.g., temporal reasoning, action recognition, long-horizon prediction) and video generation (e.g., controllable generation, long-video planning/generation) within agentic systems. Tech Stack Python JAX SGLang Spark Ray 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 Developing agentic planners for short- and long-horizon video generation Designing and collecting human/synthetic data; developing data generation techniques, e.g., captioning Building evals and reward models for video generation Studying training recipes for advancing video understanding/generation and agent training Ideal Experience Track record in leading studies that significantly improve the capability and performance of neural networks, whether through better data or better modeling. Experience in data-driven experiment designs and systematic analysis for iterative model debugging. Experience in SFT, RL, evals, and human/synthetic data. Experience in agentic RL training and video models is considered an advantage. 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 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. Annual Salary Range $180,000 - $440,000 USD 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.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Other Ai Matches

Software Engineer - Media Applicants are expected to have a solid experience in handling Product related tasks
Senior Product Engineer - Starfleet Applicants are expected to have a solid experience in handling Engineering related tasks
Member of Technical Staff - Search Post Training Applicants are expected to have a solid experience in handling Foundation Model related tasks
remote-jobserver Remote
Pure Math Tutor Applicants are expected to have a solid experience in handling Human Data related tasks
Infrastructure Engineer - US Government Applicants are expected to have a solid experience in handling Product related tasks
Front Desk Ambassador (Part-Time) Applicants are expected to have a solid experience in handling Security related tasks
Security Engineer, Detection and Response Applicants are expected to have a solid experience in handling Information Security related tasks
Backend Engineer Applicants are expected to have a solid experience in handling Product related tasks
Member of Technical Staff, Pre-training Data Scaling Applicants are expected to have a solid experience in handling Foundation Model related tasks
Member of Technical Staff, Ads Applicants are expected to have a solid experience in handling Product related tasks
Investigations Analyst, Suspicious Activity Reports - X Payments Applicants are expected to have a solid experience in handling Product related tasks
remote-jobserver Remote
Occupational Math Tutor Applicants are expected to have a solid experience in handling Human Data related tasks
Controls Technician Applicants are expected to have a solid experience in handling Data Center Operations related tasks
Datacenter Operations Technician Applicants are expected to have a solid experience in handling Data Center Operations related tasks
remote-jobserver Remote
Corporate Law and Securities Expert Applicants are expected to have a solid experience in handling Human Data related tasks
People Operations Specialist Applicants are expected to have a solid experience in handling People related tasks
Software Engineer - Infrastructure Applicants are expected to have a solid experience in handling Engineering related tasks
Member of Technical Staff, Image Generation Applicants are expected to have a solid experience in handling Foundation Model related tasks
Engineering Technical Lead Manager (TLM) - Enterprise Applicants are expected to have a solid experience in handling Engineering related tasks
Network Engineer - Backbone Applicants are expected to have a solid experience in handling Engineering related tasks
Quality Assurance Engineer, X Money Applicants are expected to have a solid experience in handling Engineering related tasks
Site Reliability Engineer (SRE) Applicants are expected to have a solid experience in handling Product related tasks
Facilities Operations Lead Applicants are expected to have a solid experience in handling Data Center Operations related tasks