About the Team
The agent team at xAI makes AI models generalizable and capable of solving real-world challenges.
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
- Collecting and curating human and synthetic data to improve the capability and behavior of agent systems.
Exceptional candidates may have:
- PhD with AI or other scientific domains
- Strong knowledge of reinforcement learning techniques
- Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning
Location
The role is based in Palo Alto. 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:
Coding assessment in a language of your choice.
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.
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.
Annual Salary Range
$180,000 - $440,000 USD
