AI Engineer & Researcher - Pre-training Scaling, Data, and Eval

Reposted 10 Days Ago
2 Locations
180K-440K
Mid level
Information Technology
The Role
The AI Engineer & Researcher will scale neural networks, implement state-of-the-art methods, innovate in pretraining, and improve data quality.
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.

Tech Stack

  • Python
  • JAX and 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

  • Training trillion parameter neural networks at scale, as well as a variety of smaller specialized models.
  • Rapidly implementing the latest state-of-the-art methods from the deep learning literature.
  • Innovating new ideas for pretraining and new scaling paradigm.
  • Improving pretraining data quality at scale across different modalities.

Ideal Experiences (at least one from below)

  • Strong engineering skills with passion to improve different aspects of data and model.
  • Expert in ML and large model scaling, familiar with all kinds of scaling laws.
  • Familiar with distributed training, multi-GPU neural network training and experience on optimizing ML training efficiency.
  • Familiar with state-of-the-art techniques for preparing AI training data.
  • Good at organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.

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:

  1. Coding assessment in a language of your choice.
  2. Systems hands-on: Demonstrate practical skills in a live problem-solving session.
  3. Project deep-dive: Present your past exceptional work to a small audience.
  4. 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

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
Python
Rust
Spark
Xla
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The Company
96 Employees
Remote Workplace

What We Do

Understand the Universe

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