The Applied AI Engineer & Researcher will innovate data strategies, design and implement algorithms, and collaborate with product teams to integrate technology into AI systems. Responsibilities include training and evaluating AI capabilities, addressing product issues, and enhancing system truthfulness and helpfulness.

The Applied AI Engineer will design and deliver Voice AI solutions, improve models, analyze data, and integrate technologies for enterprise customers.

Lead the X Ads engineering organization, building and improving the next generation Ads Platform using advanced AI and infrastructure.

The AI Quality Lead will standardize data quality processes, conduct audits, manage team performance, and collaborate with stakeholders to improve AI training workflows.

Lead the X Money engineering organization, set product and technical direction, and build next generation financial services technology stack hands-on.

The Senior Logistics Lead will oversee logistics operations, develop strategies, manage teams, vendors, and projects, and ensure compliance with regulations.

Design, implement, and optimize distributed reinforcement learning systems, focusing on performance profiling, debugging, and software-algorithm co-design.

Develop infrastructure for reinforcement learning, optimize distributed computing, and collaborate with research teams to build scalable systems.

As Payroll Lead, oversee payroll operations for 1,000+ employees globally, manage payments, benefits, compliance, and optimize systems using Rippling.

Design and operate large-scale data center wireless infrastructure, utilizing strong RF knowledge and Python for automation tasks. Participate in on-call rotation for network reliability.

The AI Safety Engineer will identify safety shortcomings, implement methods from ML safety literature, and ensure safety measures across development pipelines.

The role involves developing large scale networks for AI/HPC, optimizing performance, designing backend/frontend networks, and improving training/inference efficiencies.

The Executive Assistant will support the Engineering Executive Leadership team by managing schedules, coordinating meetings, handling travel arrangements, and providing project management and administrative support.

RDMA Engineers at xAI design and optimize low-latency networking solutions for GPU supercomputing clusters, enhancing performance and scalability for AI workloads.

The Human Data Project Lead will oversee data integrity and AI model development, manage projects, ensure collaboration among teams, and enhance model capabilities in diverse domains while maintaining data quality.

The role involves leveraging AI models to create consumer products, designing interfaces, and collaborating with researchers to optimize product features.

The Infrastructure Engineer will manage GPU supercomputing clusters, implement IaC best practices, and ensure secure service delivery across environments.

Join the multimodal team at xAI as a Full Stack Software Engineer, focusing on building user-friendly data management interfaces and research applications in AI. Responsibilities include prototyping, improving research tooling, and collaborating with teams to enhance the user experience.

Design and implement large-scale distributed training systems, optimize GPU utilization, and maintain codebase for AI model training.

Lead the design, deployment, and maintenance of data center infrastructure, ensuring reliability and efficiency while guiding a team of engineers.