AI Engineer & Researcher - Pre-training (Multi-modal)

Posted 15 Days Ago
Be an Early Applicant
2 Locations
Expert/Leader
Information Technology
The Role
The role involves advancing multi-modal pretraining models using neural networks, leading research, and designing evaluations for model capabilities.
Summary Generated by Built In
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 and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Role

The pre-training team at xAI aims to provide an omni model that can understand the universe through text, image, video and audio. To accomplish this, we are looking for expert researchers and engineers in multi-modal pre-training.

Tech Stack

  • Python
  • JAX/XLA
  • Rust / C++
  • Spark

Location

The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation.

Focus

  • Driving research and engineering to advance pretraining models that can understand multi-modality data.
  • Driving research for models across different scales, from billion-parameter neural networks to trillion-parameter neural networks.
  • Designing evaluations that capture model’s capabilities across multiple domains

Ideal Experience

  • Track record in leading research that significantly improves the multi-modal capability of neural networks, whether better data or better modeling.
  • Familiar with state-of-the-art techniques for preparing multi-modal training data.
  • Understanding scaling paradigm of pretraining and innovating new paradigms

xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics. 

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 

For Los Angeles County (unincorporated) Candidates:

xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: 

  • Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;
  • Interacting with internal and/or external clients and colleagues; and
  • Exercising sound judgment.

California Consumer Privacy Act (CCPA) Notice

Top Skills

C++
Jax/Xla
Python
Rust
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The Company
96 Employees
Remote Workplace

What We Do

Understand the Universe

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