Member of Technical Staff - Reasoning
xAI
Member of Technical Staff - Reasoning
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 Position
As a Member of Technical Staff, you will build frameworks to improve the reasoning capability, build distributed reinforcement learning systems, techniques for inference time compute (e.g. tree search and planning), and develop environments for agents.
You will get exposure and will be expected to solve and take ownership of components across the entire stack.
Tech Stack
- Python
- JAX
- Rust
Location
The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located in the Bay Area or open to relocation.
Focus
- Build robust and scalable distributed RL systems.
- Optimize frameworks to enable complex inference-time reasoning.
- Develop environments and harnesses for agents.
Ideal Experiences
- Experienced with large-scale reinforcement learning systems.
- Designing and implementing distributed systems.
- Keeping up with state-of-the-art RL and inference time compute algorithms.
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.
- Systems hands-on: Demonstrate practical skills in a live problem-solving session.
- Project deep-dive: Present your past exceptional work to a small audience.
- Meet and greet with the wider team.
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,
- San Francisco, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- Pythonintermediate
- JAXintermediate
- Rustintermediate
- Large-scale reinforcement learning systemsintermediate
- Distributed systemsintermediate
- RL and inference time compute algorithmsintermediate
- Strong communication skillsintermediate
- Work ethic and strong prioritization skillsintermediate
Required Qualifications
- Experienced with large-scale reinforcement learning systems (experience)
- Designing and implementing distributed systems (experience)
- Keeping up with state-of-the-art RL and inference time compute algorithms (experience)
Responsibilities
- Build frameworks to improve the reasoning capability
- Build distributed reinforcement learning systems
- Techniques for inference time compute (e.g. tree search and planning)
- Develop environments for agents
- Solve and take ownership of components across the entire stack
- Build robust and scalable distributed RL systems
- Optimize frameworks to enable complex inference-time reasoning
- Develop environments and harnesses for agents
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 - Reasoning @ xAI.
Member of Technical Staff - Reasoning
xAI
Member of Technical Staff - Reasoning
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 Position
As a Member of Technical Staff, you will build frameworks to improve the reasoning capability, build distributed reinforcement learning systems, techniques for inference time compute (e.g. tree search and planning), and develop environments for agents.
You will get exposure and will be expected to solve and take ownership of components across the entire stack.
Tech Stack
- Python
- JAX
- Rust
Location
The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located in the Bay Area or open to relocation.
Focus
- Build robust and scalable distributed RL systems.
- Optimize frameworks to enable complex inference-time reasoning.
- Develop environments and harnesses for agents.
Ideal Experiences
- Experienced with large-scale reinforcement learning systems.
- Designing and implementing distributed systems.
- Keeping up with state-of-the-art RL and inference time compute algorithms.
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.
- Systems hands-on: Demonstrate practical skills in a live problem-solving session.
- Project deep-dive: Present your past exceptional work to a small audience.
- Meet and greet with the wider team.
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,
- San Francisco, CA,
Salary
180,000 - 440,000 USD / yearly
Skills Required
- Pythonintermediate
- JAXintermediate
- Rustintermediate
- Large-scale reinforcement learning systemsintermediate
- Distributed systemsintermediate
- RL and inference time compute algorithmsintermediate
- Strong communication skillsintermediate
- Work ethic and strong prioritization skillsintermediate
Required Qualifications
- Experienced with large-scale reinforcement learning systems (experience)
- Designing and implementing distributed systems (experience)
- Keeping up with state-of-the-art RL and inference time compute algorithms (experience)
Responsibilities
- Build frameworks to improve the reasoning capability
- Build distributed reinforcement learning systems
- Techniques for inference time compute (e.g. tree search and planning)
- Develop environments for agents
- Solve and take ownership of components across the entire stack
- Build robust and scalable distributed RL systems
- Optimize frameworks to enable complex inference-time reasoning
- Develop environments and harnesses for agents
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 - Reasoning @ xAI.