xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The Computer Use Agents team aims to develop LLM agents that can use computers the way (or better) human use today, building the base towards the goal of Macrohard – an autonomous AI software company.
Requirements
- Coding assessment in a language of your choice.
- Ability to formulate, design and solve concrete problems in real world with LLM.
- Extensive experience developing and implementing reinforcement learning (RL) algorithms for intelligent agents, with a focus on agent-based systems.
- Proven expertise in designing and training purely vision-based RL agents or algorithms, leveraging visual inputs for decision-making.
- Demonstrated ability to translate research ideas inspired by real-world use cases into deployable models or agents, successfully delivering them to end users.
Responsibilities
- Build the best in class Computer Use Agents focussing on automating repetitive processes, building and testing software, performing long-horizon tasks (e.g. research, plan and execute on a complex task).
- Design RL algorithms, reliable and efficient tools for agent to learn by interacting w/ realistic environments.
- Work closely with the team to acquire data, build relevant evaluation suites and good product experience.
- Extensive experience developing and implementing reinforcement learning (RL) algorithms for intelligent agents, with a focus on agent-based systems.
- Proven expertise in designing and training purely vision-based RL agents or algorithms, leveraging visual inputs for decision-making.
- Demonstrated ability to translate research ideas inspired by real-world use cases into deployable models or agents, successfully delivering them to end users.
Other
- All engineers are expected to have strong communication skills.
- They should be able to concisely and accurately share knowledge with their teammates.
- Candidates are expected to be located near Palo Alto or open to relocation.
- Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.
