Senior Data Science Engineer

Uare.ai • Los Altos, CA

69d • $140,000 - $250,000

About The Position

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.

Requirements

• 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.
• Expert knowledge in statistics, linear algebra, calculus, optimization theory, and probability theory.
• Strong background in both theoretical machine learning and practical applications in industry settings.
• Expert-level experience with current LLM and ML frameworks and tools relevant for Q2 2025.
• Advanced Python skills with experience in C++, Julia, or Rust for performance-critical applications.
• Expertise in optimization, numerical methods, Bayesian methods, time series analysis, causal inference, and experimental design.
• Experience leading research projects from conception to publication and production deployment.

Nice To Haves

• Postdoctoral research experience or equivalent advanced research roles.
• Background in personalization systems, recommendation engines, or conversational AI.
• Active contributions to major ML/AI open source projects.
• CI/CD pipelines, Infrastructure-as-code, SysAdmin skills across Linux.

Responsibilities

• Drive advanced research initiatives in machine learning, deep learning, and statistical modeling with direct applications to personal AI systems.
• Develop mathematical frameworks and statistical models to solve tough problems in AI personalization and digital twin technologies.
• Architect multi-layered data systems using cutting edge (2025) technologies.
• Conduct rigorous statistical analysis, hypothesis testing, and causal inference to validate AI model performance and business impact.
• Develop cutting-edge analytics capabilities using the latest ML software stacks and research methodologies.
• Design experiments and test hypotheses.

Benefits

• Equity in the company.
• Comprehensive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree