AI Engineer & Researcher - Product Experimentation Design
Skills
- Strong proficiency in mathematics, probability, statistics, and inference.
- Hands-on experience with product experimentation, including A/B testing and causal inference.
- Ability to analyze and extract insights from noisy, high-volume data sources such as logs and engagement metrics.
- Experience supporting product decisions using data-driven methods.
- Excellent communication skills to effectively share findings and recommendations.
Responsibilities
- Extract user insights by analyzing production logs and behavioral data to identify dissatisfaction patterns.
- Design and execute product experiments such as A/B tests and multivariate trials to validate hypotheses.
- Interpret complex, noisy data streams using advanced statistical and creative analytical methods.
- Provide clear, evidence-based actionable recommendations for product planning and improvements.
- Optimize experimentation pipelines to enable rapid testing and iteration based on real-time user feedback.
Education
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline; advanced degree preferred.
Benefits
- Hybrid work model with primarily onsite presence in Palo Alto and work-from-home days as needed.
- Highly motivated, flat organizational structure encouraging hands-on contribution and leadership.
- Opportunity to work on cutting-edge AI products contributing to transformative knowledge advancements.
Average salary estimate
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