6 days ago
Palo Alto, CA, USAMid Level
H1B sponsor
Base Salary
$140k - $225k/yr
Responsibilities
- Design, implement, and optimize end-to-end pipelines for high-volume datasets using Spark, Kafka, and/or Flink.
- 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 with product engineering, product, and operations teams.
- Conduct A/B tests, causal analyses, and performance evaluations to improve key metrics.
- Implement monitoring, alerting, and automation for data systems supporting real-time decision-making.
- Mentor team members on scalable data engineering and quantitative problem-solving best practices.
Requirements
- Bachelor’s or master’s degree in computer science, statistics, applied mathematics, or another quantitative field.
- At least 2 years of experience building production data pipelines and infrastructure at scale.
- Experience with 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.
- Experience with real-time streaming systems and low-latency data processing.
- Preferred experience in consumer technology or social media, contributions to open-source data tools or large-scale analytics publications, and a record of improving system efficiency or reducing operational costs.
Benefits
- $140,000–$225,000 base salary, plus equity.
- Comprehensive medical, vision, and dental coverage.
- Access to a 401(k) retirement plan.
- Short- and long-term disability insurance and life insurance.
- Various discounts and perks.
Tech Stack
Categories
Data EngineeringData Science
About xAI
Understand the Universe. We are a team of AI technologists and business leaders on a mission to build AI systems that can help humanity understand the world better. https://x.ai/careers