Software Engineer - Data Infrastructure (Pretraining Data)
Job Description
- Keeping up with state-of-the-art techniques for preparing AI training data.
- Strong engineering skills with passion to improve different aspects of data and model.
- Experience working on one or more modalities other than text and demonstrated exceptional work.
- Ability to build bespoke data processing libraries from scratch.
- Experience designing and implementing distributed systems in Rust.
- Proficiency in Python, JAX, Rust, Spark.
- Ability to organize and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short & long-term disability insurance
- Life insurance
- Various other discounts and perks
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.
Tech Stack
- Python
- JAX
- Rust
- 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
- Building petabyte-scale, high-throughput data processing systems.
- Managing workloads across large cloud compute clusters.
- Pre-processing datasets for AI training.
Ideal Experiences
- Strong engineering skills with passion to improve different aspects of data and model.
- Has worked on one or more modalities other than text and demonstrated exceptional work.
- Building bespoke data processing libraries from scratch.
- Designing and implementing distributed systems in Rust.
- Keeping up with state-of-the-art techniques for preparing AI training data.
- 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.
We don’t rely on recruiters for assessments. 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.
