Member of Technical Staff - RL Infrastructure [data, evals, agent]

xAIPalo Alto, CA; San Francisco, CA

On-site Full-time $180K/yr - $440K/yr

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Experience Level

Experience

Qualifications

The ideal candidate will have a robust background in software engineering with significant experience in creating and maintaining scalable frameworks. Proficiency in building high-performance environments, automation tools, and full-stack applications is essential. Familiarity with rapid research-to-production cycles and expertise in CI/CD processes are crucial for success in this role.

About the job

About xAI

At xAI, we are on a mission to develop cutting-edge AI systems that not only comprehend the complexities of the universe but also empower humanity in its quest for knowledge. Our team is small yet highly driven, dedicated to achieving engineering excellence. We welcome individuals who relish challenges and have an insatiable curiosity. Operating with a flat organizational structure, we encourage hands-on contributions from all team members towards our collective mission. Leadership is earned through initiative and consistent high performance, making work ethic and prioritization crucial. Strong communication skills are essential, as sharing knowledge effectively with teammates is a key expectation.

About the Role

xAI is on the lookout for skilled software engineers to construct robust data pipelines, develop comprehensive evaluation frameworks for benchmarking large language models (LLMs), and create automation solutions that enhance the productivity of our researchers and engineers.

Focus Areas

Developing and maintaining frameworks for agent, data, and model evaluation tasks.
Creating environments for AI agents.
Designing tools to automate common workflows.
Enhancing alerts, metrics, and error handling for large-scale reinforcement learning tasks.
Refactoring existing agent, data, evaluation, and training frameworks for improved modularity.
Establishing operational procedures and coding standards to facilitate the transition from small-scale experiments to large-scale reinforcement learning training.
Implementing unit tests and CI/CD frameworks to support rapid development cycles.

Ideal Experience

Proven experience in building and maintaining frameworks utilized by multiple engineers.
Expertise in creating high-performance sandboxes, virtual machines, and simulations.
Experience in developing full-stack applications for workflow automation and data visualization.
Capability in rapidly iterating research into production cycles.
Knowledge in test automation and CI/CD practices.

Typical Challenges You Will Encounter

Exploring new agentic model capabilities...

About xAI

xAI is a pioneering organization dedicated to developing AI systems that deepen our understanding of the universe while supporting humanity's quest for knowledge. Our team is comprised of passionate individuals who thrive in a collaborative environment, where innovation and initiative are highly valued. We operate with a flat hierarchy that empowers every employee to contribute meaningfully to our mission.

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Member of Technical Staff - RL Infrastructure [data, evals, agent]

xAI

Full-time|$180K/yr - $440K/yr|On-site|Palo Alto, CA; San Francisco, CA

About xAIAt xAI, we are on a mission to develop cutting-edge AI systems that not only comprehend the complexities of the universe but also empower humanity in its quest for knowledge. Our team is small yet highly driven, dedicated to achieving engineering excellence. We welcome individuals who relish challenges and have an insatiable curiosity. Operating with a flat organizational structure, we encourage hands-on contributions from all team members towards our collective mission. Leadership is earned through initiative and consistent high performance, making work ethic and prioritization crucial. Strong communication skills are essential, as sharing knowledge effectively with teammates is a key expectation.About the RolexAI is on the lookout for skilled software engineers to construct robust data pipelines, develop comprehensive evaluation frameworks for benchmarking large language models (LLMs), and create automation solutions that enhance the productivity of our researchers and engineers.Focus AreasDeveloping and maintaining frameworks for agent, data, and model evaluation tasks.Creating environments for AI agents.Designing tools to automate common workflows.Enhancing alerts, metrics, and error handling for large-scale reinforcement learning tasks.Refactoring existing agent, data, evaluation, and training frameworks for improved modularity.Establishing operational procedures and coding standards to facilitate the transition from small-scale experiments to large-scale reinforcement learning training.Implementing unit tests and CI/CD frameworks to support rapid development cycles.Ideal ExperienceProven experience in building and maintaining frameworks utilized by multiple engineers.Expertise in creating high-performance sandboxes, virtual machines, and simulations.Experience in developing full-stack applications for workflow automation and data visualization.Capability in rapidly iterating research into production cycles.Knowledge in test automation and CI/CD practices.Typical Challenges You Will EncounterExploring new agentic model capabilities...

Dec 29, 2025

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Applied Research Engineer - Technical Staff Member

Simile

Full-time|On-site|Palo Alto

Join Our Team at SimileAt Simile, we are revolutionizing decision-making in society by providing AI simulations that accurately model human behavior. Just as pilots and surgeons rely on simulations for training, we believe that businesses deserve the same rigor when making high-stakes decisions.Our groundbreaking work has led to the creation of the first AI simulation of society, featuring generative agents that reflect real human experiences. Backed by $100 million from top investors, including Index Ventures and renowned AI experts, we are on a mission to predict human behavior with unparalleled accuracy.The RoleAs an Applied Research Engineer and Member of Technical Staff (MTS), you will be integral in refining our models of human behavior. With a strong emphasis on scientific rigor, you will participate in the entire research cycle—from designing experiments to implementing them in production systems that influence real-world decisions.Your Responsibilities Will Include:Data Insight Extraction: Analyze extensive proprietary datasets, including unstructured interviews and behavioral data, to uncover meaningful insights.Hardware Proficiency: Develop and optimize algorithms for cutting-edge NVIDIA hardware, conducting experiments that inform our model training.Scientific Leadership: Design thorough evaluations that validate our behavioral simulations against industry standards.Pushing Boundaries: Engage with the latest research in simulation and AI, continuously enhancing our methodologies and documentation.

Mar 18, 2026

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Founding Forward Deployed Engineer

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Full-time|$160K/yr - $270K/yr|On-site|San Francisco Bay Area

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Forward Deployed Software Engineer - Autonomous Systems C2

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Jan 16, 2026

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Member of Technical Staff, Inference

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Full-time|$180K/yr - $440K/yr|On-site|Palo Alto, CA; San Francisco, CA

Join xAI as a Member of the Technical Staff specializing in Inference Engineering. Our mission is to engineer cutting-edge AI systems that enhance humanity's understanding of the universe. We are a dynamic, compact team dedicated to excellence, where each member is encouraged to take initiative and contribute significantly to our objectives. The ideal candidate will thrive in a collaborative environment, showcasing their expertise in optimizing model inference and developing robust systems capable of serving billions of users. If you are passionate about pushing the boundaries of AI technology and enjoy tackling complex challenges, we want you on our team.

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