Member of Technical Staff - Macrohard / Computer Control - Reinforcement Learning

xAI • Palo Alto, CA

10d • Onsite

About The Position

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 Computer Use Agents team aims to develop LLM agents that can use computers the way (or better) human use today. The team will build the base towards the goal of Macrohard – an autonomous AI software company. About the Role In this role you will: 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees