xAI

x.ai

2 Jobs

2,602 Employees

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Company Name: xAI
Job Title: Exceptional Software Engineer
Job Description: **Job Title** Exceptional Software Engineer **Role Summary** Design, build, and maintain AI and software systems that address the most critical product or technical challenges. Work in a flat, meritocratic environment with hands‑on ownership, direct contribution to mission, and rapid clarity on deliverables. **Expectations** - Commitment to truth‑seeking AI research and development. - Pride in code quality, rigorous testing, and continuous improvement. - Proactive initiative, prioritization, and ownership of tasks. - Clear, concise communication within teams. **Key Responsibilities** 1. Architect, implement, and test high‑performance software components for AI systems. 2. Analyze complex problems, propose innovative solutions, and iterate rapidly. 3. Collaborate cross‑functionally with research, product, and engineering peers. 4. Continuously refactor and optimize codebases for scalability and maintainability. 5. Mentor junior staff and participate in knowledge sharing. **Required Skills** - Advanced proficiency in software languages (e.g., Python, C++, Java). - Deep understanding of algorithms, data structures, and system design. - Experience with AI/ML frameworks and large‑scale distributed systems. - Strong debugging, profiling, and performance optimization abilities. - Excellent written and verbal communication, capable of concise technical explanations. - Demonstrated initiative and adaptability in fast‑moving environments. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field, or equivalent professional experience. - No mandatory certifications required, but knowledge of industry‑standard security, architecture, or AI ethics frameworks is advantageous.

Palo alto, United states

On site

17-03-2026

Company Name: xAI
Job Title: Member of Technical Staff - Model Training
Job Description: **Job title** Member of Technical Staff – Model Training **Role Summary** A technical specialist responsible for developing, training, and optimizing AI models that address the most pressing challenges in the organization’s mission. The role operates in a flat, meritocratic environment, demanding high ownership, rapid experimentation, and clear communication with cross‑functional teams. **Expectations** - Deliver high‑quality, production‑ready models that scale to millions of users. - Demonstrate a passion for truth‑seeking AI and continuous improvement. - Prioritize and manage multiple, high‑impact projects efficiently. - Serve as a power user of existing AI tools and advocate best practices. - Communicate results concisely to technical and non‑technical stakeholders. **Key Responsibilities** - Design and implement training pipelines, including data preprocessing, model architecture selection, and hyper‑parameter tuning. - Optimize model performance for accuracy, efficiency, and scalability. - Conduct experiments, analyze outcomes, and iterate rapidly. - Integrate models into production pipelines and monitor performance metrics. - Collaborate with research, engineering, and product teams to align model development with business goals. - Document methodology, results, and lessons learned for internal knowledge sharing. **Required Skills** - Strong programming proficiency in Python; familiarity with deep learning frameworks (PyTorch, TensorFlow, JAX). - Experience with distributed training and large‑scale model deployment (optional but a plus). - Expertise in data engineering, feature extraction, and pipeline orchestration. - Proficient in hyper‑parameter optimization, experiment tracking, and model evaluation. - Excellent problem‑solving, debugging, and analytical skills. - Clear written and verbal communication; ability to explain complex technical concepts succinctly. - Self‑motivated, prioritization, and working effectively in a flat, high‑expectation environment. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related technical discipline. - Advanced degrees or relevant industry certifications are desirable but not mandatory.

London, United kingdom

On site

25-03-2026