Топ-оффер в сфере AI с очень высокой зарплатой и современным стеком, хотя корпоративная культура предполагает работу в режиме высокого давления.
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Высокая интенсивностьОчень высокая зарплатаТрендовый домен AIСовременный стекКарьерный бустШирокий профиль роли
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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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