Job Description

About Us:

Eternos is an AI startup founded by Robert LoCascio in 2024, who was the previous Founder & Previous CEO at LivePerson. Eternos provides realistic AI replicas of individuals that allow people to preserve, share, and interact with their memories and knowledge in ways never seen before. In May 2024, Eternos was internationally recognized as the first to create a complete digital twin that included the highest-quality digital voice. Eternos recently closed a round of Tier one VC financing to expand our operations.

We believe the future of Artificial Intelligence will be Personal AIs. At Eternos, we start with you—your experiences, your voice, your story. The goal is simple but profound: You are your best AI. By using your own intelligence, perspective, and history as the foundation, you get the most context-rich, highly personalized AI possible—one that can help you solve life’s problems in ways no generic model ever could.

Our mission is simple: continue to create the MOST realistic AIs that support ALL personal and professional use cases. Our approach is distinct. We developed the Human Life Model (HLM)—a proprietary framework that defines all the requirements for AI that not only mirrors human behavior but evolves beyond it. The Eternos platform processes vast amounts of unstructured conversational, factual, and narrative data across formats.

Since launch, we’ve been featured in over 30 major media outlets including NBC, NPR, The New York Post, and CNET.

Company Culture

At Eternos.life, we're building the future of personal AI through rigorous scientific research and innovative applications. We value intellectual curiosity, methodological rigor, and the translation of theoretical insights into practical solutions. As a fully in-person team, we believe in the power of direct collaboration, whiteboard sessions, and immediate knowledge sharing. You'll be joining a foundational team where your research expertise and scientific leadership will directly shape the theoretical foundations and practical capabilities of our AI platform.

We're looking for a world-class researcher who can bridge the gap between cutting-edge AI research and production systems that impact millions of users.

About the Role

This is a foundational role within our organization to lead our data science initiatives and drive AI research excellence. We are fully in-person located in the San Francisco Bay Area. 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.

Responsibilities

• AI Research Leadership: You should be a confident AI researcher. 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: You are not a “research coder”, but a production quality software engineer. You understand how to architect multi-layered data systems using cutting edge (2025) 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: As a sophisticated scientist, you should be comfortable with experimental design and look forward to testing your hypotheses.

Qualifications

Required

• 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

Preferred

• 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
• DevOps experience: CI/CD pipelines, Infrastructure-as-code, SysAdmin skills across Linux

What We Offer

• Competitive salary range of $250k - 300k based on experience and qualifications
• Significant equity options in a fast-growing company
• Opportunity to conduct cutting-edge AI research with immediate real-world applications
• Collaborative, in-person research environment in Palo Alto
• Direct impact on product development and scientific advancement
• Professional development and continuing education support

Eternos.life is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with applicable fair chance laws in various locations.

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