ABOUT THE ROLE:We are seeking a skilled Analytics Engineer to build and maintain robust data systems that enable high-impact quantitative analysis and business decision-making. This role combines strong software engineering practices with expertise in large-scale data processing and advanced analytical methods to deliver reliable, scalable solutions across the organization. This is an opportunity to work on mission-critical systems that power quantitative decision-making at global scale.
RESPONSIBILITIES:- Design, implement, and optimize end-to-end data pipelines for processing high-volume datasets using tools such as Spark, Kafka, Flink, etc.
- Develop quantitative models and statistical frameworks to support experimentation, forecasting, and performance measurement.
- Build and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows.
- Collaborate with product engineering, product, and operations teams to translate business requirements into production-grade data systems and insights.
- Conduct A/B tests, causal analysis, and performance evaluations to drive measurable improvements in key metrics.
- Implement monitoring, alerting, and automation for data systems to support real-time decision support.
- Mentor team members on best practices for scalable data engineering and quantitative problem-solving.
BASIC QUALIFICATIONS:- 4+ years of experience building production data pipelines and infrastructure at scale.
- Strong proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark, Flink, Hadoop).
- Demonstrated expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design.
- Solid understanding of cloud services for data storage, processing, and orchestration.
- Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or related quantitative field.
- Excellent problem-solving skills with a focus on delivering business impact through reliable systems
PREFERRED SKILLS AND EXPERIENCE:- Prior work in consumer technology, or social media domains.
- Experience with real-time streaming systems and low-latency data processing.
- Contributions to open-source data tools or publications on large-scale analytics systems.
- Track record of reducing operational costs or improving system efficiency through data optimizations.
- Have the ability to bridge engineering excellence with rigorous analytical approaches.
COMPENSATION AND BENEFITS:$180,000 - $440,000 USD
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.
