Member of Technical Staff, RL Training Framework
xAI
Member of Technical Staff, RL Training Framework
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 reasoning infrastructure team builds an end-to-end RL training framework to enable pretraining-scale RL.
About the Role
In this role you might:
- Design and implement state-of-the-art distributed RL systems
- Profile, debug, and optimize system performance
- Software and algorithm co-design with engineers
Ideal Experience
- Experience building, debugging, and optimizing large scale distributed training systems
- Experience building async RL training frameworks
- Experience in inference systems
- Proficiency in Python, Jax, or Rust
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
- We hire engineers 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.
- Technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM.
- 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
Benefits
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
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
- Building, debugging, and optimizing large scale distributed training systemsintermediate
- Building async RL training frameworksintermediate
- Inference systemsintermediate
- Pythonintermediate
- Jaxintermediate
- Rustintermediate
- Reinforcement learning techniquesintermediate
- Software and algorithm co-designintermediate
- Profiling and debugging system performanceintermediate
Required Qualifications
- Experience building, debugging, and optimizing large scale distributed training systems (experience)
- Experience building async RL training frameworks (experience)
- Experience in inference systems (experience)
- Proficiency in Python, Jax, or Rust (experience)
Preferred Qualifications
- PhD with AI or other scientific domains (experience)
- Strong knowledge of reinforcement learning techniques (experience)
- Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning (experience)
Responsibilities
- Design and implement state-of-the-art distributed RL systems
- Profile, debug, and optimize system performance
- Software and algorithm co-design with engineers
Benefits
- general: Equity
- general: Comprehensive medical, vision, and dental coverage
- general: Access to a 401(k) retirement plan
- general: Short & long-term disability insurance
- general: Life insurance
- general: Various other discounts and perks
Tags & Categories
Answer 10 quick questions to check your fit for Member of Technical Staff, RL Training Framework @ xAI.
Member of Technical Staff, RL Training Framework
xAI
Member of Technical Staff, RL Training Framework
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 reasoning infrastructure team builds an end-to-end RL training framework to enable pretraining-scale RL.
About the Role
In this role you might:
- Design and implement state-of-the-art distributed RL systems
- Profile, debug, and optimize system performance
- Software and algorithm co-design with engineers
Ideal Experience
- Experience building, debugging, and optimizing large scale distributed training systems
- Experience building async RL training frameworks
- Experience in inference systems
- Proficiency in Python, Jax, or Rust
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
- We hire engineers 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.
- Technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM.
- 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
Benefits
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
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
- Building, debugging, and optimizing large scale distributed training systemsintermediate
- Building async RL training frameworksintermediate
- Inference systemsintermediate
- Pythonintermediate
- Jaxintermediate
- Rustintermediate
- Reinforcement learning techniquesintermediate
- Software and algorithm co-designintermediate
- Profiling and debugging system performanceintermediate
Required Qualifications
- Experience building, debugging, and optimizing large scale distributed training systems (experience)
- Experience building async RL training frameworks (experience)
- Experience in inference systems (experience)
- Proficiency in Python, Jax, or Rust (experience)
Preferred Qualifications
- PhD with AI or other scientific domains (experience)
- Strong knowledge of reinforcement learning techniques (experience)
- Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning (experience)
Responsibilities
- Design and implement state-of-the-art distributed RL systems
- Profile, debug, and optimize system performance
- Software and algorithm co-design with engineers
Benefits
- general: Equity
- general: Comprehensive medical, vision, and dental coverage
- general: Access to a 401(k) retirement plan
- general: Short & long-term disability insurance
- general: Life insurance
- general: Various other discounts and perks
Tags & Categories
Answer 10 quick questions to check your fit for Member of Technical Staff, RL Training Framework @ xAI.