Senior Data Science Engineer

Get AI‑powered advice on this job and more exclusive features.

Uare.ai, founded by Robert LoCascio, is an AI startup launched in May 2024 that empowers people to do more with their memories. Uare.ai creates AI‑driven personal digital twins, enabling users to preserve, share, and interact with their knowledge and stories in groundbreaking ways. The proprietary Human Life Model (HLM) processes unstructured conversations and story data sets without training client data into traditional LLMs, instead leveraging 3rd‑party LLMs for conversations and HLM for structure and reasoning.

This is a foundational role to lead our data science initiatives and drive AI research excellence. You will work on groundbreaking AI research and data science problems that push the boundaries of personal AI, leading sophisticated statistical modeling, advanced machine learning research, and data‑driven insights that power Uare.ai’s platform. You will collaborate cross‑functionally with Machine Learning Engineering, Backend, and Product teams to translate cutting‑edge research into production systems, having a tremendous impact on the theoretical foundations and practical applications of our AI capabilities.

• AI Research Leadership:
  Drive advanced research initiatives in machine learning, deep learning, and statistical modeling with direct applications to personal AI systems.
• Mathematical Modeling:
  Develop mathematical frameworks and statistical models to solve tough problems in AI personalization and digital twin technologies.
• Data Architecture:
  Architect multi‑layered data systems using cutting‑edge technologies, ensuring production quality software engineering.
• Statistical Analysis:
  Conduct rigorous statistical analysis, hypothesis testing, and causal inference to validate AI model performance and business impact.
• Advanced Analytics:
  Build cutting‑edge analytics capabilities using the latest ML software stacks and research methodologies.
• Experimental Design:
  Design and execute experiments to test hypotheses, driving scientific rigor.

• PhD in Mathematics, Statistics, Computer Science, Physics, or related quantitative field.
• 8+ years of combined academic research and industry experience in data science, machine learning, or AI research.
• Deep Mathematical Foundation:
  Expert knowledge in statistics, linear algebra, calculus, optimization theory, and probability theory.
• Theoretical & Applied Expertise:
  Strong background in both theoretical machine learning and practical applications in industry settings.
• Modern LLM and ML Stack Proficiency:
  Expert experience with current LLM and ML frameworks and tools relevant for 2025.
• Programming Excellence:
  Advanced Python skills with experience in C++, Julia, or Rust for performance‑critical applications.
• Statistical Modeling:
  Expertise in optimization, numerical methods, Bayesian methods, time series analysis, causal inference, and experimental design.
• Research Leadership:
  Experience leading research projects from conception to publication and production deployment.

• Postdoctoral research experience or equivalent advanced research roles.
• Domain Expertise:
  Background in personalization systems, recommendation engines, or conversational AI.
• Open Source Contributions:
  Active contributions to major ML/AI open source projects.

CI/CD pipelines, Infrastructure‑as‑code, Sys Admin skills across Linux.

Annual Salary: $140,000 – $250,000 USD. Our total compensation package for full‑time employees includes equity and a comprehensive benefits package.

Referrals increase your chances of interviewing  by 2x.