Data Engineering Expert for AI Systems

4 days ago


Palo Alto, California, United States xAI Full time
About xAI

xAI is a cutting-edge organization dedicated to developing intelligent systems that accurately comprehend the universe and contribute to humanity's pursuit of knowledge.

We are a small, highly motivated team focused on engineering excellence. Our company culture values individual growth and encourages collaboration across various departments.

A flat organizational structure allows employees to take ownership of their work and contribute directly to our mission. We foster a culture of initiative and excellence, where leadership opportunities arise from consistent high performance.

Effective communication is essential in our team-based environment. Engineers and researchers must be able to clearly share knowledge with their colleagues.

About the Role

You will leverage xAI's models and algorithms to design innovative consumer products and experiences, scaling them out to millions of users worldwide.

Tech Stack
  • Rust
  • Python
  • Spark
  • Postgresql
Ideal Experience
  • Data curation, filtering, and cleaning expertise for large language and multimodal models.
  • Experience working with and quality controlling large-scale human annotation.
  • Familiarity with crafting consumer app data flywheels.
  • Rigor in identifying product direction from usage data.
  • Passion for creating delightful consumer products with cutting-edge technology.
Interview Process

The team reviews your application, statement of exceptional work, and CV. If successful, you'll participate in a 15-minute phone interview, followed by four technical interviews:

  1. Coding assessment in a chosen language.
  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.

All interviews will be conducted via Google Meet.

Compensation

$250,000 - $400,000 USD per year, depending on experience.



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