Member of Technical Staff - Macrohard / Computer Control - Applied AI at XAI LONDON LTD

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

440000.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Software Development, Statistical Analysis, Experimental Design, Evaluation Frameworks, Collaboration, Communication, Problem Solving, Research, Automation, Long-Horizon Tasks, Computer Control, LLM Agents, Engineering Excellence, Initiative, Prioritization

Industry

technology;Information and Internet

Description

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). Develop next generation evaluation suites beyond traditional benchmarks and create evaluation frameworks that capture real world utility, especially in enterprise use cases. Collaborate closely with product teams to gain deep insights into real-world environments, develop innovative evaluation methodologies, and partner with research teams to hill-climb on these evaluations for maximum impact. Collaborate with research teams to convert cutting-edge techniques and computer control models into production-ready implementations. Exceptional candidates may have: Proven expertise in designing and implementing sophisticated evaluation frameworks for optimizing computer and browser-based agent performance. Experience with statistical analysis and experimental design. . 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: Coding assessment (2): in a language of your choice to solve a logical, algorithmic problem meant to be solved in 40 minutes setting. System design: designing a scalable, reliable system for one of the real world problem demonstrating first-principles thinking by breaking down requirements, justifying architectural choices, and addressing challenges. 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 xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Responsibilities

You will build best-in-class Computer Use Agents focusing on automating repetitive processes and developing next-generation evaluation suites. Collaborate closely with product and research teams to gain insights and convert cutting-edge techniques into production-ready implementations.