Member of Technical Staff - Multimodal Post-training
xAI
Member of Technical Staff - Multimodal Post-training
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 Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence.
About the Role
In this role you will:
- Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems
- Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users. Some projects will involve real-time video understanding, including data curation, pipelines, and evaluation for video-based multimodal capabilities
Exceptional candidates may have:
- Experience or publications in (multimodal) large language models (data / training algorithm / architecture)
- Exceptional engineering skills to iterate quickly on the data processing and training pipelines
- Strong understanding of large language model and data
- Deep knowledge of reinforcement learning techniques
- Deep knowledge of reinforcement learning techniques - Experience in real-world computer vision, video processing, or multimodal datasets (e.g., real-time video understanding, noisy visual data handling, or scalable video pipelines)
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.
- 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training.
- 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
- engineering excellenceintermediate
- strong communication skillsintermediate
- work ethicintermediate
- strong prioritization skillsintermediate
- large language modelsintermediate
- data processingintermediate
- training pipelinesintermediate
- reinforcement learningintermediate
- computer visionintermediate
- video processingintermediate
- multimodal datasetsintermediate
Preferred Qualifications
- Experience or publications in (multimodal) large language models (data / training algorithm / architecture) (experience)
- Exceptional engineering skills to iterate quickly on the data processing and training pipelines (experience)
- Strong understanding of large language model and data (experience)
- Deep knowledge of reinforcement learning techniques (experience)
- Experience in real-world computer vision, video processing, or multimodal datasets (e.g., real-time video understanding, noisy visual data handling, or scalable video pipelines) (experience)
Responsibilities
- Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems
- Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users. Some projects will involve real-time video understanding, including data curation, pipelines, and evaluation for video-based multimodal capabilities
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 - Multimodal Post-training @ xAI.
Member of Technical Staff - Multimodal Post-training
xAI
Member of Technical Staff - Multimodal Post-training
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 Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence.
About the Role
In this role you will:
- Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems
- Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users. Some projects will involve real-time video understanding, including data curation, pipelines, and evaluation for video-based multimodal capabilities
Exceptional candidates may have:
- Experience or publications in (multimodal) large language models (data / training algorithm / architecture)
- Exceptional engineering skills to iterate quickly on the data processing and training pipelines
- Strong understanding of large language model and data
- Deep knowledge of reinforcement learning techniques
- Deep knowledge of reinforcement learning techniques - Experience in real-world computer vision, video processing, or multimodal datasets (e.g., real-time video understanding, noisy visual data handling, or scalable video pipelines)
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.
- 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training.
- 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
- engineering excellenceintermediate
- strong communication skillsintermediate
- work ethicintermediate
- strong prioritization skillsintermediate
- large language modelsintermediate
- data processingintermediate
- training pipelinesintermediate
- reinforcement learningintermediate
- computer visionintermediate
- video processingintermediate
- multimodal datasetsintermediate
Preferred Qualifications
- Experience or publications in (multimodal) large language models (data / training algorithm / architecture) (experience)
- Exceptional engineering skills to iterate quickly on the data processing and training pipelines (experience)
- Strong understanding of large language model and data (experience)
- Deep knowledge of reinforcement learning techniques (experience)
- Experience in real-world computer vision, video processing, or multimodal datasets (e.g., real-time video understanding, noisy visual data handling, or scalable video pipelines) (experience)
Responsibilities
- Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems
- Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users. Some projects will involve real-time video understanding, including data curation, pipelines, and evaluation for video-based multimodal capabilities
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 - Multimodal Post-training @ xAI.