Member of Technical Staff - Macrohard / Computer Control - Reinforcement Learning
xAI
Member of Technical Staff - Macrohard / Computer Control - Reinforcement Learning
Job 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).
- 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.
Exceptional candidates may have:
- 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.
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 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
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Locations
- Palo Alto, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- reinforcement learning (RL) algorithmsintermediate
- intelligent agentsintermediate
- agent-based systemsintermediate
- vision-based RL agentsintermediate
- visual inputs for decision-makingintermediate
- LLMintermediate
- codingintermediate
- researchintermediate
- engineeringintermediate
- strong communication skillsintermediate
- work ethicintermediate
- strong prioritization skillsintermediate
Preferred Qualifications
- Extensive experience developing and implementing reinforcement learning (RL) algorithms for intelligent agents, with a focus on agent-based systems. (experience)
- Proven expertise in designing and training purely vision-based RL agents or algorithms, leveraging visual inputs for decision-making. (experience)
- Demonstrated ability to translate research ideas inspired by real-world use cases into deployable models or agents, successfully delivering them to end users. (experience)
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.
Tags & Categories
Answer 10 quick questions to check your fit for Member of Technical Staff - Macrohard / Computer Control - Reinforcement Learning @ xAI.
Member of Technical Staff - Macrohard / Computer Control - Reinforcement Learning
xAI
Member of Technical Staff - Macrohard / Computer Control - Reinforcement Learning
Job 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).
- 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.
Exceptional candidates may have:
- 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.
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 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
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Locations
- Palo Alto, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- reinforcement learning (RL) algorithmsintermediate
- intelligent agentsintermediate
- agent-based systemsintermediate
- vision-based RL agentsintermediate
- visual inputs for decision-makingintermediate
- LLMintermediate
- codingintermediate
- researchintermediate
- engineeringintermediate
- strong communication skillsintermediate
- work ethicintermediate
- strong prioritization skillsintermediate
Preferred Qualifications
- Extensive experience developing and implementing reinforcement learning (RL) algorithms for intelligent agents, with a focus on agent-based systems. (experience)
- Proven expertise in designing and training purely vision-based RL agents or algorithms, leveraging visual inputs for decision-making. (experience)
- Demonstrated ability to translate research ideas inspired by real-world use cases into deployable models or agents, successfully delivering them to end users. (experience)
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.
Tags & Categories
Answer 10 quick questions to check your fit for Member of Technical Staff - Macrohard / Computer Control - Reinforcement Learning @ xAI.