Member of Technical Staff, Grokipedia - Synthetic Data & Epistemics job opportunity at xAI.



bot
xAI Member of Technical Staff, Grokipedia - Synthetic Data & Epistemics
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 Grokipedia team at xAI is building an AI-powered knowledge platform that leverages advanced LLMs to generate, maintain, and update high-quality, factual articles. We are seeking a skilled engineer to lead the development and improvement of article generation pipelines, focusing on epistemics to ensure truthfulness and reliability. This role involves creating LLM agents for long-form content creation, synthetic data generation for training and evaluation, advanced prompting techniques, and inference systems that incorporate user feedback and keep content current. Tech Stack Python Agent frameworks Ray Focus Developing article rewrite pipelines using LLM agents to produce accurate, long-form content while prioritizing epistemic integrity. Developing prompting strategies and synthetic data generation methods to improve model performance in knowledge-intensive tasks. Incorporating user edit suggestions into inference pipelines to iteratively refine articles for factual accuracy and completeness. Building systems to automatically update articles with new information, ensuring ongoing truthfulness and reducing hallucinations through rigorous verification mechanisms. Experimenting with epistemics-focused techniques, such as chain-of-thought reasoning, self-critique, and multi-agent debates, to elevate the quality of generated content. Collaborating on scalable infrastructure for real-time article maintenance and generation at production scale. Ideal Experiences (at least one from below) Strong engineering background with expertise in LLMs, agentic systems, and epistemics in AI. Experience in prompting engineering, synthetic data creation, and long-form text generation using models Proficiency in building and optimizing inference pipelines for knowledge bases, including handling user feedback loops. Familiarity with techniques for ensuring factual accuracy in AI outputs, such as retrieval-augmented generation (RAG) or epistemic uncertainty modeling. Hands-on work with large-scale data processing and generation, focusing on quality, verifiability, and bias mitigation. Preference for candidates with experience in content platforms, wiki-like systems, or AI-driven knowledge management tools. 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. 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: Coding assessment in a language of your choice. Systems hands-on: Demonstrate practical skills in a live problem-solving session. Project deep-dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. Our goal is to finish the main process within one week. 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