AI Engineer & Researcher Multimodal Posttraining
Offer summary
Qualifications:
Strong background in multimodal large language models and related research., Exceptional engineering skills for data processing and training pipeline iteration., Deep understanding of large language models, data, and reinforcement learning techniques., Excellent communication skills to share knowledge effectively with team members..Key responsibilities:
- Develop advanced multimodal reasoning models and tools.
- Work across the entire LLM stack, including pre-training, supervised fine-tuning, and reinforcement learning.
- Collaborate with the team to deliver high-performance models for end users.
- Participate in technical interviews and contribute to research and development efforts.
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 handson 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 and researchers 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 costefficient 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 (pretraining, SFT, RL) to deliver the strongest model for end users
-
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
-
Location
- We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow workfromhome 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 15minute 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 posttraining technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for posttraining.
-
- 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
About the Team
The Reasoning Efficiency team at xAI focuses on pushing the boundaries of costefficient 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 (pretraining, SFT, RL) to deliver the strongest model for end users
-
- 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
-
- We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow workfromhome days when required. Candidates are expected to be located near Palo Alto or open to relocation.
-
- Coding assessment in a language of your choice.
- 2x posttraining technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for posttraining.
- 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
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 15minute 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:
Location
Exceptional candidates may have:
Required profile
Experience
Other Skills
- Prioritization
- Strong Work Ethic
- Communication
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