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Описание вакансии
Текст:
TL;DR
Analytics Engineer - X (AI): Building and optimizing high-volume data pipelines and infrastructure for quantitative decision-making at global scale with an accent on distributed processing, statistical modeling, experimentation, and data quality. Focus on designing real-time data systems, conducting causal analysis and A/B tests, and implementing monitoring and automation for reliable analytical workflows.
Location: Palo Alto, California, United States
Salary: $180,000–$440,000 USD per year, plus equity and benefits.
Company
xAI builds AI systems designed to understand the universe and support humanity's pursuit of knowledge.
What you will do
- Design, implement, and optimize end-to-end data pipelines for high-volume datasets using Spark, Kafka, Flink, and related technologies.
- Develop quantitative models and statistical frameworks for experimentation, forecasting, and performance measurement.
- Build and maintain data infrastructure supporting data quality, consistency, accessibility, and analytical workflows.
- Translate business requirements into production-grade data systems and insights in collaboration with product engineering, product, and operations teams.
- Conduct A/B tests, causal analysis, and performance evaluations to improve key metrics.
- Implement monitoring, alerting, and automation for real-time decision support, and mentor team members on scalable data engineering and quantitative problem-solving.
Requirements
- 4+ years of experience building production data pipelines and infrastructure at scale.
- Strong proficiency in Python, SQL, and distributed computing frameworks such as Spark, Flink, or Hadoop.
- Expertise in statistical methods, predictive modeling, hypothesis testing, and experimental design.
- Understanding of cloud services for data storage, processing, and orchestration.
- Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
- Strong problem-solving and communication skills, with a focus on delivering business impact through reliable systems.
Nice to have
- Experience in consumer technology or social media.
- Experience with real-time streaming systems and low-latency data processing.
- Contributions to open-source data tools or publications on large-scale analytics systems.
- Experience reducing operational costs or improving system efficiency through data optimization.
Culture & Benefits
- Small, highly motivated organization focused on engineering excellence and challenging technical problems.
- Flat structure with hands-on contribution, initiative, strong prioritization, and concise knowledge sharing.
- Equity and comprehensive medical, vision, and dental coverage.
- 401(k) retirement plan, short- and long-term disability insurance, life insurance, discounts, and additional perks.
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