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AI Engineer & Researcher - Product Analytics & Experimentation Design

Xai

$180,000 - $440,000
Aug 14, 2025
Palo Alto, CA, US
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xAI is looking to transform user feedback and behavioral data into actionable insights that drive rapid product evolution for their AI systems.

Requirements

  • Profound skills in math, probability, statistics, and inference, with a proven ability to apply them creatively to real-world problems in dynamic tech environments.
  • Hands-on experience designing and analyzing product experiments (e.g., A/B testing, causal inference), with a track record of accelerating iteration in AI or software products.
  • Demonstrated talent for teasing insights from noisy, high-volume data sources like logs and metrics, leading to innovative solutions that address user pain points without model training.
  • Background in using data-driven methods to guide strategic choices, such as identifying suboptimal features and proposing fixes in fast-paced settings.
  • Coding assessment in a language of your choice.
  • Ability to formulate, design and solve concrete problems in training data for post-training.

Responsibilities

  • Dive into production logs and behavioral data to identify patterns of dissatisfaction, using mathematical and statistical tools to distill why users may not engage with or appreciate aspects of our AI models.
  • Craft and execute fast-paced experiments, such as A/B tests or multivariate trials, to validate hypotheses on product features and measure their impact on user experience.
  • Apply advanced stats and creative analytical techniques to interpret ambiguous data streams, uncovering hidden correlations and causal factors that inform product improvements.
  • Synthesize findings into clear, evidence-based strategies for product decisions, prioritizing quick wins and long-term enhancements to boost model usability and appeal.
  • Optimize experimentation pipelines for speed, enabling frequent testing and refinement cycles that allow the team to pivot based on real-time user signals and evolving needs.

Other

  • All employees are expected to be hands-on and to contribute directly to the company’s mission.
  • Leadership is given to those who show initiative and consistently deliver excellence.
  • Work ethic and strong prioritization skills are important.
  • All engineers and researchers are expected to have strong communication skills.
  • Candidates are expected to be located near Palo Alto or open to relocation.