Member of Technical Staff - Macrohard / Software Creation
Job Description
- PhD / PhD students with AI or other scientific domains.
- Strong knowledge of reinforcement learning techniques.
- Experience in building infra for large-scale reinforcement learning and LLM training.
- Develop realistic agent environments and evaluation methods.
- Design RL algorithms for agent to learn by interacting w/ realistic environments.
- Collect and curate human and synthetic data to improve the capability and behavior of agent systems.
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 engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Team
The Macrohard / Software generation team aims to develop LLM agents that can create software that are customized to user needs, towards the goal of Macrohard – an autonomous AI software company. As a team at xAI, we're committed to empowering users by amplifying their original ideas with cutting-edge AI expertise. We prioritize AI's real-world impact, delivering economic value to society while pioneering technical innovations that tackle fundamental challenges through algorithmic breakthroughs. Macrohard embodies the intersection of these visions—a purely AI-driven software company that's as ambitious as it is real. If this resonates with you, join us!
About the Role
In this role you might:
- Develop realistic agent environments and evaluation methods.
- Design RL algorithms for agent to learn by interacting w/ realistic environments.
- Collect and curate human and synthetic data to improve the capability and behavior of agent systems.
Exceptional candidates may have:
- PhD / PhD students with AI or other scientific domains.
- Strong knowledge of reinforcement learning techniques.
- Experience in building infra for large-scale reinforcement learning and LLM training.
Location
- The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto 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:
1. Coding assessment in a language of your choice.
2. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience.
3. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.
Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.
