Senior Data Science Engineer

Uare.ai, founded by Robert LoCascio (former CEO of Live Person for 28 years), is an AI startup launched in May 2024 with a mission to empower 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.

At its core is the proprietary Human Life Model (HLM), designed to process unstructured conversations and story data sets without training client data into traditional LLMs. Instead, Uare.ai leverages 3rd‑party LLMs for conversations, with HLM providing structure and reasoning.

While initially focused on personal legacy and AI immortality, Uare.ai's platform has broad B2C and B2B applications. The company has gained significant traction, featured in over 30 outlets including NBC, NPR, The New York Post, and CNET.

This is a foundational role within our organization to lead our data science initiatives and drive AI research excellence. We are building for the future!

In this role, you will have the opportunity to work on groundbreaking AI research and data science problems that push the boundaries of personal AI. You'll lead sophisticated statistical modeling, advanced machine learning research, and data‑driven insights that power Eternos' platform. You will work cross‑functionally with Machine Learning Engineering, Backend, and Product teams to translate cutting‑edge research into production systems. Your work will have a tremendous impact on the theoretical foundations and practical applications of Eternos' 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.
• Statistical Analysis: Conduct rigorous statistical analysis, hypothesis testing, and causal inference to validate AI model performance and business impact.
• Advanced Analytics: Develop cutting‑edge analytics capabilities using the latest ML software stacks and research methodologies.
• Experimental Design: Design experiments and test hypotheses in a rigorous scientific manner.

• 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-level experience with current LLM and ML frameworks and tools relevant for Q2 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.

The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity and a comprehensive benefits package.

$140,000 - $250,000 USD

As set forth in Uare.ai’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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