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
Join us in shaping the future of AI-powered products that touch the lives of hundreds of millions globally. We’re seeking a curious, numbers-driven self-starter who thrives on uncovering insights and driving impact. You don’t need prior AI experience—just a sharp mind and a passion for how AI can transform lives.
As a Data Scientist at xAI, you’ll be responsible for understanding data and metrics around our systems and users. You will shape product and research teams development by understanding how our AI products are impacting users and identifying new opportunities. You will partner with teams to prioritize what to build and set goals.
What You’ll Do
- Build and maintain data pipelines and models to decode user behavior and system performance.
- Partner with product and research teams to define key metrics and events that drive decision-making.
- Tackle complex challenges in data tracking, event nuances, and statistical analysis.
- Lead hypothesis development, design experiments, and apply quantitative rigor to validate ideas.
- Translate data insights into clear, actionable recommendations for teams and leadership.
Who You Are
- Experienced with high-volume event data and large-scale data infrastructure.
- Skilled at modeling consumer behavior and drawing meaningful conclusions.
- Meticulous in understanding data—what it says, and how to wield it effectively.
- Energized by creating consumer products that push the boundaries of technology.
Tech Stack
- Required: Python, SQL
- Familiarity with: GCP, Postgres, microservices architecture
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 1 technical interview, 1 data modeling interview, and 1 project deep-dive interview:
- Practical coding assessment in a language of your choice.
- Data modeling: Demonstrate a complete understanding of statistics and the scientific method.
- Project deep-dive: Present and answer questions about exceptional work that you’ve done.
- Meet and greet with the wider team.
Our goal is to finish the main process within one week. Final interviews will be conducted in person.
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.
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